Drill bit logistics system and drill bit inventory management method
By configuring material pick-and-place mechanism and logistics lines in the drill bit logistics system, equipment connectivity is achieved, and inventory management is optimized by using directed graph modeling and Bayesian estimation, the problem of equipment isolation and lack of flexible adjustment capabilities in the existing technology is solved, and drill bit transportation efficiency and inventory management efficiency are improved.
Patent Information
- Application Number
- CN202510584227.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-07
- Publication Date
- 2025-06-27
- Estimated Expiration
- 2045-05-07
AI Technical Summary
The equipment in the existing drill bit logistics system is isolated or partially linked, resulting in high manual operation intensity, difficult to ensure production safety, and lack of inventory management strategies with flexible adjustment capabilities, resulting in low equipment operation efficiency and waste of inventory.
It provides a drill bit logistics system, which can connect the three-dimensional library, needle dispensing machine, needle return machine, buffering machine and box sorting machine in the drill bit management system, and decouple the equipment, and connect the drill bit management system with the drill rig and grinder through the material box handling equipment. At the same time, directed graph modeling and Bayesian estimation are used to generate inventory adjustment strategies and optimize inventory management.
It improves drill bit transportation efficiency, reduces manual intervention, reduces inventory waste, improves logistics processing efficiency in inventory management, and realizes flexible adjustment of equipment and efficient automatic transmission between heterogeneous equipment.
Smart Images

Figure CN120207806A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of computer technology, and particularly to a drill bit logistics system and a drill bit inventory management method. Background Art
[0002] With the development of electronic technology, the demand for printed circuit boards (PCBs) is also increasing. When a PCB is machined by mechanical drilling, drill bits of different diameters and specifications are usually required. The general operation process is to first take out the cartridges loaded with drill bits of different specifications from the warehouse, then pick and select drill bits of different diameters and specifications into the same cartridge (this process is called needle matching), and then send the matched needles (here, "needles" refer to drill bits, the same below) to the drilling machine for use. A cartridge refers to a marked carrier for loading drill bits. Drill bits are consumables. After being used in the drilling machine, the used drill bits of different diameters and specifications also need to be sorted into drill bits of the same diameter and specification and placed in the corresponding cartridges (this process is called needle returning), and the returned needles are sent to the warehouse or the grinding machine. The main function of the grinding machine is to re-grind and repair the used drill bits to improve the service life of the drill bits. The used drill bits need to be sent from the warehouse to the grinding machine for grinding, and the ground drill bits are stored back in the warehouse.
[0003] Currently, devices such as automatic needle matching machines, needle returning machines, and stereoscopic warehouses can exist in isolation and operate independently without being linked to other devices. This requires manual handling of the material transfer work in the above needle matching - use - needle returning process, resulting in a large manual operation intensity and making it difficult to ensure production safety; or some devices are connected, but due to the lack of a complete set of inventory management strategies or the lack of an inventory management strategy with flexible adjustment capabilities, the operating efficiency of the devices is not high. Therefore, for the logistics management of drill bits in the production workshop, it is generally managed through a drill bit management system implemented as a whole at one time. However, such a system has high requirements for the space and floor height of the drill room, resulting in limited placement positions of the devices, difficulty in coping with complex drill room environments, and may also lead to large inventory waste. Therefore, it is crucial to physically decouple the devices of the drill bit management system and, through modular design, achieve distributed implementation on demand and make an adaptation design according to the site conditions. However, this will result in complex coupling relationships among the devices of the drill bit management system logically, and thus the complexity index of the inventory management strategy increases, and the logistics processing efficiency of the inventory management process cannot be guaranteed. Summary of the Invention
[0004] Based on this, in view of the above technical problems, it is necessary to provide a drill bit logistics system, a drill bit inventory management method, a device, a computer device, a computer-readable storage medium, and a computer program product that can achieve decoupling of devices in the drill bit management system and improve the drill bit transportation efficiency.
[0005] In a first aspect, the present application provides a drill bit logistics system. The drill bit logistics system includes a drill bit management system. The drill bit management system includes a three-dimensional warehouse, a needle matching machine, a needle returning machine, and a box sorting machine. The three-dimensional warehouse is used to store cartridges loaded with drill bits. The cartridge is a box for loading drill bits. The needle matching machine is used to allocate drill bits in small batches of multiple specifications to the same cartridge. The needle returning machine is used to separately take out different types of drill bits from the cartridge and reinstall them into the corresponding type of cartridge. The box sorting machine is used to sort the cartridges into boxes. The box is used to load the cartridges. The three-dimensional warehouse, the needle matching machine, the needle returning machine, and the box sorting machine are connected through a material picking and placing mechanism and a logistics line. The material picking and placing mechanism is arranged at a corresponding position of the three-dimensional warehouse and is used to pick up the cartridge from the three-dimensional warehouse and place it on the logistics line to convey the cartridge to at least one of the needle matching machine, the needle returning machine, and the box sorting machine. The material picking and placing mechanism is also used to pick up the cartridge from the logistics line and deposit the cartridge picked up from the logistics line into the three-dimensional warehouse. The drill bit management system is also provided with an interface for external devices. The drill bit management system is connected to the external devices at the interface through a box handling device.
[0006] In one embodiment, the drill bit logistics system further includes a drilling machine and a grinding machine. The drilling machine, the grinding machine, and the drill bit management system are connected through a box handling device. The box handling device is used to handle the box.
[0007] In one embodiment, the drill bit management system further includes a cartridge sorting machine and a cartridge reversing machine. The cartridge sorting machine is used to take out drill bits in small specifications and large quantities from different cartridges. The cartridge reversing machine is used to change the orientation of the drill bits loaded in the cartridge. The three-dimensional warehouse, the needle matching machine, the needle returning machine, the box sorting machine, the cartridge sorting machine, and the cartridge reversing machine are connected through a material picking and placing mechanism and a logistics line. The cartridge sorting machine includes a needle returning cartridge sorting machine and a needle matching cartridge sorting machine. The box sorting machine includes a needle returning box sorting machine and a needle matching box sorting machine. The cartridge reversing machine includes an in-warehouse cartridge reversing machine, a pre-grinding cartridge reversing machine, and a post-grinding cartridge reversing machine.
[0008] In one embodiment, the drill bit management system further includes a buffer warehouse. The buffer warehouse is used to temporarily store the cartridges. The buffer warehouse is independently arranged in the drill bit management system, or the buffer warehouse is arranged as a buffer component in the needle matching machine and the needle returning machine. When the buffer warehouse is independently arranged in the drill bit management system, the three-dimensional warehouse, the needle matching machine, the needle returning machine, the buffer warehouse, and the box sorting machine are connected through a material picking and placing mechanism and a logistics line.
[0009] In the above drill bit logistics system, the three-dimensional warehouse, needle matching machine, needle returning machine, and box sorting machine of the drill bit management system are connected through a material picking and placing mechanism and a logistics line. The drilling rig, grinding machine, and drill bit management system are connected through a bin handling device, and the bin handling device is used to handle bins. By configuring the material picking and placing mechanism and the logistics line, the connection of various devices including the three-dimensional warehouse, needle matching machine, needle returning machine, buffer warehouse, and box sorting machine in the drill bit management system is realized, thereby decoupling the devices of the drill bit management system. At the same time, the connection of the drilling rig, grinding machine, and drill bit management system is realized through the bin handling device, so that the placement position of the devices in the drill bit logistics system can be flexibly adjusted, and the devices can be increased or decreased as needed, which is conducive to realizing the high-efficiency automatic transmission of materials between heterogeneous devices.
[0010] In a second aspect, the present application provides a drill bit inventory management method, which is applied to the above drill bit logistics system and includes:
[0011] Modeling the logistics connection relationship of different devices in the drill bit logistics system through a directed graph to obtain a logistics connection model;
[0012] Obtain the logistics demand information of the demand-side devices in the drill bit logistics system;
[0013] Based on the logistics demand information, determine the inventory consumption information of the three-dimensional warehouse in the drill bit management system, and generate an inventory adjustment strategy corresponding to the inventory consumption information;
[0014] Create a logistics processing task corresponding to the inventory adjustment strategy based on the logistics connection model.
[0015] In one embodiment, the modeling the logistics connection relationship of different devices in the drill bit logistics system through a directed graph to obtain a logistics connection model includes:
[0016] Identify the device pairs with logistics connection relationships in the drill bit logistics system;
[0017] Construct a connection relationship triple of the device pairs, and the connection relationship triple includes an end device, a start device, and a transfer loss;
[0018] Generate a directed graph of the drill bit logistics system based on the connection relationship triple;
[0019] Construct a logistics connection model of the drill bit logistics system based on the directed graph and a preset logistics target, and the preset logistics target corresponds to the transfer loss.
[0020] In one embodiment, the obtaining the logistics demand information of the demand-side devices in the drill bit logistics system includes:
[0021] Obtain the historical demand information and current demand information of drill bits of various specifications within the observation window range;
[0022] Input the historical demand information into a demand forecasting model to obtain the predicted demand information corresponding to each type of drill bit. The demand forecasting model is trained based on the demand data of drill bits of various specifications in historical data;
[0023] Summarize the predicted demand information, the historical demand information, and the current demand information to obtain logistics demand information.
[0024] In one embodiment, determining the inventory consumption information of the three-dimensional warehouse in the drill bit management system based on the logistics demand information and generating an inventory adjustment strategy corresponding to the inventory consumption information includes:
[0025] For each three-dimensional warehouse, based on the logistics demand information, determine the inventory consumption speed of drill bits of various specifications in the three-dimensional warehouse;
[0026] According to the inventory information and inventory consumption speed of drill bits of various specifications in the three-dimensional warehouse, for each three-dimensional warehouse, model the inventory consumption process of drill bits of various specifications to obtain inventory consumption information;
[0027] Based on the inventory consumption information, generate an inventory adjustment strategy for drill bits of various specifications in the three-dimensional warehouse.
[0028] In one embodiment, before modeling the inventory consumption process of drill bits of various specifications for each three-dimensional warehouse according to the inventory information and inventory consumption speed of drill bits of various specifications in the three-dimensional warehouse to obtain inventory consumption information, it further includes:
[0029] Determine the current inventory information of drill bits of various specifications in each three-dimensional warehouse, as well as the historical demand information and current demand information of drill bits of various specifications at the demand side;
[0030] Based on the current inventory information, historical demand information, and current demand information, determine the safety inventory and inventory upper limit of drill bits of various specifications in the three-dimensional warehouse through Bayesian estimation;
[0031] Based on the safety inventory and inventory upper limit, update the inventory information of drill bits of various specifications in the three-dimensional warehouse.
[0032] In one embodiment, determining the safety inventory and inventory upper limit of drill bits of various specifications in the three-dimensional warehouse through Bayesian estimation based on the current inventory information, historical demand information, and current demand information includes:
[0033] Based on the current inventory information, the historical demand information, and the current demand information, generate Bayesian prior distribution parameters;
[0034] Generate Bayesian posterior distribution parameters based on the newly observed demand information and the Bayesian prior distribution parameters;
[0035] Obtain the service level coefficient, replenishment lead time, and demand forecast coverage period corresponding to the automated storage and retrieval system;
[0036] Determine the safety stock of drill bits of various specifications based on the service level coefficient, the replenishment lead time, and the Bayesian posterior distribution parameters;
[0037] Determine the inventory upper limit of drill bits of various specifications based on the replenishment lead time, the demand forecast coverage period, the Bayesian posterior distribution parameters, and the safety stock.
[0038] In one embodiment, the inventory adjustment strategy includes an automated storage and retrieval system replenishment strategy;
[0039] The generating of the inventory adjustment strategy for drill bits of various specifications in the automated storage and retrieval system based on the inventory consumption information includes:
[0040] Based on the inventory consumption information, determine the current inventory information of drill bits of various specifications in the automated storage and retrieval system, obtain the inventory upper limit, safety stock, and replenishment speed of the automated storage and retrieval system, as well as the current demand information and forecast demand information of the demand side for drill bits of various specifications;
[0041] Obtain the demand urgency, demand consumption speed, and demand forecast accuracy of the demand side for drill bits of various specifications;
[0042] Based on the current inventory information, the inventory upper limit, the safety stock, the current demand information, the forecast demand information, the demand urgency, the demand consumption speed, and the demand forecast accuracy, determine the replenishment priority of drill bits of various specifications, and based on the current inventory information, the inventory upper limit, the safety stock, the replenishment speed, the current demand information, the forecast demand information, the demand consumption speed, and the demand forecast accuracy, determine the replenishment quantity of drill bits of various specifications;
[0043] Generate the automated storage and retrieval system replenishment strategy for drill bits of various specifications in the automated storage and retrieval system based on the replenishment priority and the replenishment quantity.
[0044] In one embodiment, the inventory adjustment strategy includes an automated storage and retrieval system return strategy;
[0045] The generating of the inventory adjustment strategy for drill bits of various specifications in the automated storage and retrieval system based on the inventory consumption information includes:
[0046] Based on the inventory consumption information, determine the current inventory information of drill bits of various specifications in the automated storage and retrieval system, as well as the historical demand information, current demand information, and forecast demand information of the demand side for drill bits of various specifications;
[0047] Obtain the demand prediction accuracy of the demand side for various specifications of drill bits;
[0048] Based on the current inventory information, the historical demand information, the current demand information, the predicted demand information, and the demand prediction accuracy, determine the return priority and return quantity of various specifications of drill bits;
[0049] Based on the return priority and the return quantity, generate a three-dimensional library return strategy for various specifications of drill bits in the three-dimensional library.
[0050] In a third aspect, the present application further provides a drill bit inventory management device, which is set in the above-mentioned drill bit logistics system, and includes:
[0051] A connectivity relationship modeling module, configured to model the logistics connectivity relationship of different devices in the drill bit logistics system through a directed graph to obtain a logistics connectivity model;
[0052] A demand acquisition module, configured to acquire the logistics demand information of the demand-side device in the drill bit logistics system;
[0053] An inventory strategy generation module, configured to determine the inventory consumption information of the three-dimensional library in the drill bit management system based on the logistics demand information, and generate an inventory adjustment strategy corresponding to the inventory consumption information;
[0054] A logistics processing module, configured to create a logistics processing task corresponding to the inventory adjustment strategy based on the logistics connectivity model.
[0055] In a fourth aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:
[0056] Model the logistics connectivity relationship of different devices in the drill bit logistics system through a directed graph to obtain a logistics connectivity model;
[0057] Obtain the logistics demand information of the demand-side device in the drill bit logistics system;
[0058] Based on the logistics demand information, determine the inventory consumption information of the three-dimensional library in the drill bit management system, and generate an inventory adjustment strategy corresponding to the inventory consumption information;
[0059] Based on the logistics connectivity model, create a logistics processing task corresponding to the inventory adjustment strategy.
[0060] In a fifth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:
[0061] Model the logistics connectivity relationships of different devices in the drill bit logistics system through a directed graph to obtain a logistics connectivity model;
[0062] Obtain the logistics demand information of the demand-side devices in the drill bit logistics system;
[0063] Based on the logistics demand information, determine the inventory consumption information of the automated storage and retrieval system in the drill bit management system, and generate an inventory adjustment strategy corresponding to the inventory consumption information;
[0064] Create a logistics processing task corresponding to the inventory adjustment strategy based on the logistics connectivity model.
[0065] In a sixth aspect, the present application also provides a computer program product, including a computer program, which when executed by a processor implements the following steps:
[0066] Model the logistics connectivity relationships of different devices in the drill bit logistics system through a directed graph to obtain a logistics connectivity model;
[0067] Obtain the logistics demand information of the demand-side devices in the drill bit logistics system;
[0068] Based on the logistics demand information, determine the inventory consumption information of the automated storage and retrieval system in the drill bit management system, and generate an inventory adjustment strategy corresponding to the inventory consumption information;
[0069] Create a logistics processing task corresponding to the inventory adjustment strategy based on the logistics connectivity model.
[0070] The above drill bit inventory management method, device, computer device, computer-readable storage medium, and computer program product based on logistics management model the logistics connectivity relationships of different devices in the drill bit logistics system through a directed graph to obtain a logistics connectivity model; obtain the logistics demand information of the demand-side devices in the drill bit logistics system; determine the inventory consumption information of the automated storage and retrieval system in the drill bit management system based on the logistics demand information, and generate an inventory adjustment strategy corresponding to the inventory consumption information; create a logistics processing task corresponding to the inventory adjustment strategy based on the logistics connectivity model. The present application realizes the logistics connectivity modeling of the drill bit logistics system through the logistics connectivity relationships between devices. When logistics demand is generated at the demand side, the inventory adjustment strategy of the system can be generated through the logistics demand information, and the logistics processing task can be created in combination with the logistics connectivity model, which is also conducive to realizing the high-efficiency automatic transmission of the cartridges between heterogeneous devices, thereby effectively realizing the management of the drill bit inventory. Description of the Drawings
[0071] To more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the following will briefly introduce the drawings required for the description of the embodiments of the present application or the related art. Obviously, the drawings described below are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.
[0072] Figure 1 It is a structural block diagram of a drill bit logistics system in an embodiment;
[0073] Figure 2 It is a layout schematic diagram of multiple sets of drill bit management system devices in an embodiment;
[0074] Figure 3 It is a schematic diagram of the layout of drill bit management system devices and its automatic logistics in an embodiment;
[0075] Figure 4 It is an application environment diagram of a drill bit inventory management method in an embodiment;
[0076] Figure 5 It is a flowchart of a drill bit inventory management method in an embodiment;
[0077] Figure 6 It is a schematic diagram of a directed graph logistics connectivity model of a drill bit logistics system in an embodiment;
[0078] Figure 7 It is a schematic diagram of inventory consumption information in the inventory consumption process in an embodiment;
[0079] Figure 8 It is a structural block diagram of a drill bit inventory management device in an embodiment;
[0080] Figure 9 It is an internal structure diagram of a computer device in an embodiment. Detailed implementation manners
[0081] In order to make the objectives, technical solutions and advantages of the present application more clear, the following further details the present application in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0082] The drill bit logistics system provided by the embodiments of the present application can specifically refer to Figure 1As shown in the figure, the drill bit logistics system includes a drill bit management system 102. The drill bit management system 102 includes a three-dimensional warehouse 1021, a needle dispensing machine 1022, a needle returning machine 1023, and a box sorting machine 1024. The three-dimensional warehouse 1021 is used to store the boxes loaded with drill bits. The boxes are used to load drill bits. The needle dispensing machine 1022 is used to distribute drill bits of multiple specifications and small batches into the same box. The needle returning machine 1023 is used to separately take out different types of drill bits from the box and put them back into the corresponding type of box. The box sorting machine 1024 is used to sort the boxes into bins. The bins are used to load the boxes. The three-dimensional warehouse 1021, the needle dispensing machine 1022, the needle returning machine 1023, and the box sorting machine 1024 are connected through a material picking and placing mechanism and a logistics line. The material picking and placing mechanism 1025 is arranged at the corresponding position of the three-dimensional warehouse and is used to pick up the box from the three-dimensional warehouse 1021 and place it on the logistics line to convey the box to at least one of the needle dispensing machine 1022, the needle returning machine 1023, and the box sorting machine 1024. The material picking and placing mechanism 1025 is also used to pick up the box from the logistics line and store the box obtained from the logistics line into the three-dimensional warehouse 1021. The drill bit management system 102 is also provided with an interface 1026 for external devices. The drill bit management system 102 is connected to the external device through a bin handling device at the interface 1026.
[0083] The devices included in the drill bit management system 102 are a three-dimensional warehouse 1021, a needle dispensing machine 1022, a needle returning machine 1023, and a box sorting machine 1024. Among them, the three-dimensional warehouse is used to store the boxes loaded with drill bits. The boxes are used to load drill bits. The needle dispensing machine is used to distribute drill bits of multiple specifications and small batches into the same box. The needle returning machine is used to separately take out different types of drill bits from the box and put them back into the corresponding type of box. The box sorting machine is used to sort the boxes into bins. The bins are used to load the boxes. In one embodiment, the drill bit management system further includes a box sorting machine and a box turning machine. The box sorting machine is used to take out drill bits of few specifications and large batches from different boxes. The box turning machine is used to change the orientation of the drill bits loaded in the box. The three-dimensional warehouse, the needle dispensing machine, the needle returning machine, the box sorting machine, the box sorting machine, and the box turning machine are connected through a material picking and placing mechanism and a logistics line. The box sorting machine includes a needle returning box sorting machine and a needle dispensing box sorting machine. The box sorting machine includes a needle returning box sorting machine and a needle dispensing box sorting machine. The box turning machine includes an in-warehouse box turning machine, a pre-grinding box turning machine, and a post-grinding box turning machine.
[0084] In one embodiment, the drill bit logistics system further includes a drilling machine and a grinding machine. The drilling machine, the grinding machine, and the drill bit management system 102 are connected through a bin handling device. The bin handling device is used to handle the bins. Among them, the drilling machine is a device that uses drill bits during actual production, and the main function of the grinding machine is to re-grind and repair the used drill bits to extend the service life of the drill bits. The used drill bits need to be sent from the warehouse to the grinding machine for grinding, and the ground drill bits are stored back in the warehouse.
[0085] In one embodiment, the drill bit management system also includes a cache library, which is used to temporarily store material boxes. The cache library is independently arranged in the drill bit management system, or the cache library is arranged as a cache component in the needle matching machine and the needle return machine. When the cache library is independently arranged in the drill bit management system, the three-dimensional library, the needle matching machine, the needle return machine, the cache library and the box sorting machine are connected through the material picking and placing mechanism and the logistics line.
[0086] Exemplarily, the present application is specifically a logistics system for managing the flow of drill bit materials between different devices, and the logistics here mainly refers to connecting the drill bits between the drill rigs that use the drill bits, the grinders that repair the drill bits, and the drill bit management system that stores and manages the drill bits. When the user needs to implement the logistics management of drill bits in actual production scenarios, he can first configure various types of equipment involved in the drill bit logistics process in a modeling manner according to the actual workshop settings, or according to the workshop environment and production needs of the production workshop, including drill rigs, grinders, and drill bit management systems. For the drill bit management system, it is necessary to model each device in the drill bit management system.
[0087] Afterwards, it is necessary to configure the connectivity between the devices in the system, configure the connectivity between various devices in the drill management system 102 through the material picking and placing mechanism 1026 and the logistics line, and configure the connectivity between the drilling rig, grinder and the drill management system 102 through the material box handling equipment to build a drill logistics system.
[0088] Among them, the material picking and placing mechanism 1026 is used to store and retrieve material boxes from the three-dimensional library of the drill management system. In a specific embodiment, the material picking and placing mechanism can be realized by a stacker. The logistics line is used to transfer material boxes between devices and inside devices. The material box handling equipment is used for the logistics transportation of material boxes between drilling rigs, grinders and drill management systems. The material box handling equipment can be realized by AGV and other equipment. AGV is called automatic guided vehicle. Its function is to load goods automatically or manually, automatically drive according to the set route or tow the cargo trolley to the designated location, and then load and unload goods automatically or manually. Here, the function of the material box handling equipment is to realize the automatic logistics connection between the drill management system and drilling rigs, grinders and other equipment.
[0089] Exemplarily, after configuring various types of equipment involved in the drill bit logistics management process, it is also necessary to configure the specific logistics connectivity relationship between these devices, so as to complete the transportation of material boxes and other processing based on the logistics connectivity relationship in the drill bit logistics system. The logistics connectivity relationship specifically includes the connectivity relationship of various types of equipment in the drill bit management system 102, including the stereoscopic warehouse, needle matching machine, needle return machine, cache warehouse and box sorting machine, as well as the configuration of the connectivity relationship between the drill rig, grinder and the drill bit management system 102. For the former, it can be achieved through the material loading and unloading mechanism 1026 and the logistics line. In one embodiment, the layout diagram of multiple sets of drill bit management systems can refer toFigure 2 As shown, it includes a three-dimensional warehouse, a needle-feeding machine, a needle-returning machine, a buffer warehouse, an in-warehouse box-inverting machine, a pre-grinding box-inverting machine, a post-grinding box-inverting machine, a box sorting machine, a box sorting machine, etc. The physical connection of the equipment within the management system is achieved by using the stacker as the material picking and placing mechanism and the logistics line. In addition, an AGV connection point is also set at the sorting machine, which can be connected to the drilling machine and the grinding machine. In another embodiment, Figure 3 The following case is used to illustrate the logistics connection process inside the drill bit management system. Figure 3 The material picking and placing mechanism 2-4 in it takes out the cartridge loaded with drill bits from the three-dimensional warehouse 2 and places it on the logistics line connecting the three-dimensional warehouse 2 and the three-dimensional warehouse 1. The cartridge is transported to the side of the three-dimensional warehouse 1 through the logistics line and is taken out from the logistics line by the material picking and placing mechanism 1-3 and stored in the three-dimensional warehouse 1. When the needle-feeding machine needs to feed needles to the drill bits, the material picking and placing mechanism 1-4 can take out the corresponding drill bits (cartridges) from the three-dimensional warehouse 1 and transport them to the needle-feeding machine through the logistics line on the side of the needle-feeding machine. When the drill bits in the needle-returning machine need to be stored back in the three-dimensional warehouse 1 or the three-dimensional warehouse 2, its movement direction is opposite to the above process. The conveying logic of the remaining logistics can refer to the above process, and there is no essential difference. In addition, it should be clear that Figure 2 and Figure 3 The layout of the equipment of the drill bit management system shown is just an example. In fact, through the method of the present application, the equipment of the drill bit management system can be placed at any position and the inventory can be managed.
[0090] In the above drill bit logistics system, the three-dimensional warehouse, the needle-feeding machine, the needle-returning machine and the box sorting machine of the drill bit management system are connected through the material picking and placing mechanism and the logistics line, and the drilling machine, the grinding machine and the drill bit management system are connected through the box handling equipment, and the box handling equipment is used to handle the cartridges. By configuring the material picking and placing mechanism and the logistics line, the connection of various equipment including the three-dimensional warehouse, the needle-feeding machine, the needle-returning machine, the buffer warehouse and the box sorting machine in the drill bit management system is realized, so as to decouple the equipment of the drill bit management system. At the same time, through the box handling equipment, the connection between the drilling machine, the grinding machine and the drill bit management system is realized, so that the placement position of the equipment of the drill bit logistics system can be flexibly adjusted and the equipment can be increased or decreased as needed, which is beneficial to realizing the high-efficiency automatic transmission of materials between heterogeneous equipment.
[0091] The embodiment of the present application also provides a drill bit inventory management method, which can be applied to such as Figure 4In the application environment shown. Among them, the method is specifically applied to the above-mentioned drill bit logistics system. The terminal 401 in the system communicates with the drill bit management system 403, the drilling rig 405, and the grinding machine 407 through the network respectively. The drill bit management system 403 includes equipment such as a three-dimensional warehouse 4031, a needle matching machine 4032, a needle returning machine 4033, a buffer warehouse 4034, a sorting machine 4035, and a box inversion machine 4036. These devices are connected through a material picking and placing mechanism and a logistics line. And the drill bit management system 403, the drilling rig, and the grinding machine are connected through a material box handling device for logistics. When the user on the terminal 401 side needs to implement the logistics management of the drill bit logistics system, the logistics connection relationship of different devices in the drill bit logistics system is modeled through a directed graph to obtain a logistics connection model; the logistics demand information of the demand-side devices in the drill bit logistics system is obtained; based on the logistics demand information, the inventory consumption information of the three-dimensional warehouse in the drill bit management system is determined, and an inventory adjustment strategy corresponding to the inventory consumption information is generated; based on the logistics connection model, a logistics processing task corresponding to the inventory adjustment strategy is created, and then the logistics management of various types of drill bits in the drill bit logistics system is realized based on the logistics processing task. Among them, the terminal 401 can be but is not limited to various personal computers, laptop computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head-mounted device can be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc.
[0092] In an exemplary embodiment, as Figure 5 shown, a drill bit inventory management method based on logistics management is provided. Taking the method applied to Figure 4 the terminal 401 in
[0093] Step 502, model the logistics connection relationship of different devices in the drill bit logistics system through a directed graph to obtain a logistics connection model.
[0094] Among them, a directed graph (Directed Graph, Digraph) is an important structure in graph theory, consisting of a set of vertices and a set of directed edges, used to represent the one-way relationship between vertices, and is widely used in fields such as task scheduling, path planning, and network analysis. In this application, a directed graph is used to represent the movement direction and movement path of the material box in the drill bit logistics process.
[0095] Exemplarily, in system modeling, after decoupling the devices in the material handling mechanism, the logistics line, and the AGV drill bit management system, each device can be placed at a suitable position according to actual placement requirements, and the logistics connection relationship between the devices is no longer limited to fixed physical connections. In order to accurately describe and manage these complex logistics connection relationships, a directed graph structure is used for modeling to obtain the logistics connection model in the system. Furthermore, based on the logistics connection model, combined with the specific drill bit material inventory and equipment material usage requirements, optimal logistics planning can be performed. In a specific embodiment, the present application can model the corresponding devices on the terminal 401 through the drill bit logistics system configuration information, and then by setting the distance relationship and connection relationship between these devices, automated logistics processing between the devices in the actual production scenario can be achieved. The drill bit logistics system configuration information refers to the positions of various devices such as drilling rigs, grinders, and drill bit management systems in the corresponding production scenario. When the user needs to implement inventory management of drill bit logistics in the actual production scenario, various devices participating in the drill bit logistics process can be configured in a modeling manner on the terminal 401 according to the actual workshop settings or according to the workshop environment and production needs of the production workshop. Specifically, it includes drilling rigs, grinders, and drill bit management systems. For the drill bit management system, each device in the drill bit management system needs to be modeled.
[0096] Step 504, obtain the logistics demand information of the demand-side devices in the drill bit logistics system.
[0097] Among them, the demand-side devices refer to the devices that need to use drill bit materials, and the demand-side devices include at least one of a needle dispensing machine, the corresponding case sorter of the needle dispensing machine, a buffer library, and a box sorter.
[0098] Exemplarily, after the logistics connection model is established, the logistics demand information of the demand-side devices in the drill bit logistics system can be determined first, including historical demand, real-time demand, and predicted demand in advance, etc. Then, based on this demand information, the system logistics can be planned in advance, thereby realizing the inventory management and control of the automated storage and retrieval system, reducing inventory, accelerating the turnover of drill bits, and improving the operation efficiency of the drill bit management system. In a specific embodiment, for the demand that needs to be predicted, a neural network model for prediction can be trained through a neural network model, and then the demand prediction processing can be performed based on the model.
[0099] Step 506, determine the inventory consumption information of the automated storage and retrieval system in the drill bit management system based on the logistics demand information, and generate an inventory adjustment strategy corresponding to the inventory consumption information.
[0100] Among them, the inventory consumption information refers to the information on the inventory of drills of various types and models in the three-dimensional warehouse changing over time, which can specifically include the current inventory information, the historical demand information of various specifications of drills at the demand side, the currently known demand information, and the predicted future demand information. An analysis can be carried out for the inventory of each model of drill in each three-dimensional warehouse to determine the dynamic change of the drill inventory. As for the inventory adjustment strategy, it is a strategy for adjusting the inventory of the three-dimensional warehouse based only on the inventory consumption information, aiming to achieve inventory safety, optimize the inventory structure, and quickly meet the equipment requirements of the demand side. The inventory adjustment strategy specifically includes the replenishment strategy and the return strategy. In addition, in addition to these inventory adjustment strategies, the inventory upper limit and safety inventory of the three-dimensional warehouse can also be adjusted through the three-dimensional warehouse inventory configuration strategy.
[0101] Exemplarily, as the specific processing process progresses, the material box will also flow among the various devices in the drill logistics system. Therefore, to ensure the efficient logistics operation of the drills, the inventory consumption process of the three-dimensional warehouse can be modeled, and a separate analysis can be carried out for each model of drill in each three-dimensional warehouse. Based on the actual and predicted demand information, an inventory adjustment strategy for adjusting the drill inventory in the three-dimensional warehouse is generated. In addition to the inventory adjustment strategy, for the three-dimensional warehouse inventory itself, the inventory upper limit and safety inventory of each item number in the three-dimensional warehouse can be dynamically adjusted through the three-dimensional warehouse inventory configuration strategy, the inventory structure can be dynamically optimized, the smooth operation of replenishment and return can be ensured, inventory backlog or shortage can be avoided, the space utilization rate and material turnover efficiency of the three-dimensional warehouse can be improved, and the refinement and intelligence of inventory management can be realized. Through the three-dimensional warehouse replenishment strategy, the required drills can be made as close as possible to the demand side of devices such as the needle matching machine, thereby reducing the waiting time of the demand side and maximizing the operating efficiency of the demand side devices. Through the three-dimensional warehouse return strategy, it is ensured that the materials that are no longer needed can be removed from the three-dimensional warehouse in a timely and orderly manner or the inventory can be reduced, creating storage space for new materials or frequently used materials, reducing inventory backlog, maintaining a reasonable inventory structure and dynamic balance, and enhancing the logistics fluency and overall operation efficiency among the three-dimensional warehouses.
[0102] Step 508, create a logistics processing task corresponding to the inventory adjustment strategy based on the logistics connection model.
[0103] Exemplarily, after determining the inventory adjustment strategy, in order to more efficiently complete the adjustment of the drill bit inventory in the three-dimensional warehouse, a logistics processing plan that can meet the inventory adjustment strategy can be determined based on the previously established logistics connectivity model. When calculating the logistics processing plan for inventory adjustment, the factors considered include: the inventory level of the source warehouse, the inventory adjustment distance / cost / cost, and the congestion degree of the logistics line. Then the logistics processing task will be sent to the corresponding terminal of the system to automatically perform logistics-related processing. Through the logistics processing task, the inventory adjustment is effectively realized, ensuring that the drill bit logistics system and the production and processing process based on the drill bit logistics system can operate effectively and efficiently.
[0104] The above drill bit inventory management method models the logistics connectivity relationship of different devices in the drill bit logistics system through a directed graph to obtain a logistics connectivity model; obtains the logistics demand information of the demand-side devices in the drill bit logistics system; determines the inventory consumption information of the three-dimensional warehouse in the drill bit management system based on the logistics demand information, and generates an inventory adjustment strategy corresponding to the inventory consumption information; creates a logistics processing task corresponding to the inventory adjustment strategy based on the logistics connectivity model. This application realizes the logistics connectivity modeling of the drill bit logistics system through the logistics connectivity relationship between devices. When logistics demand is generated at the demand side, the inventory adjustment strategy of the system can be generated through the logistics demand information, and a logistics processing task can be created in combination with the logistics connectivity model, which is also beneficial to realizing the high-efficiency automatic transmission of the cartridge between heterogeneous devices.
[0105] This application decouples the drill bit management system devices through the material picking and placing mechanism and the logistics line, facilitating the flexible adjustment of the device placement position, increasing or decreasing devices as needed, realizing the high-efficiency automatic transmission of the cartridge between heterogeneous devices, reducing manual intervention and errors, and reducing labor costs. And combined with the inventory adjustment strategy of this application, it can adapt to any placement position of the drill bit management system devices, ensuring that the probability of the demand-side devices running at the maximum efficiency within a 30-day operation cycle is more than 90%. In addition, through the method of this application, a modular three-dimensional warehouse design can be realized, so the requirements for the drill room site space are low, and it can be implemented in a highly flexible distributed manner according to the actual situation, flexibly adjusting the inventory capacity as needed, and avoiding waste of inventory.
[0106] In an exemplary embodiment, step 502 includes: identifying pairs of devices with a logistics connectivity relationship in the drill bit logistics system; constructing a connectivity relationship triple of the device pair, where the connectivity relationship triple includes an end device, a start device, and a transfer loss; generating a directed graph of the drill bit logistics system based on the connectivity relationship triple; constructing a logistics connectivity model of the drill bit logistics system based on the directed graph and a preset logistics goal, and the preset logistics goal corresponds to the transfer loss.
[0107] Among them, the logistics connectivity relationship existing in the drill bit logistics system refers to the relationship that the material (cartridge) to be transferred can be directly transferred from one device to another device, and these two devices form a device pair. For exampleFigure 4 In the illustrated embodiment, the material handling mechanism takes out the cartridge loaded with drill bits from the three-dimensional warehouse 2 and places it on the logistics line connecting the three-dimensional warehouse 2 and the three-dimensional warehouse 1. The cartridge is transported to the side of the three-dimensional warehouse 1 via the logistics line, and is taken out from the logistics line by the material handling mechanism and stored in the three-dimensional warehouse 1. At this time, there is a logistics connection relationship between the three-dimensional warehouse 1 and the three-dimensional warehouse 2, forming an equipment pair. The connection relationship triple based on the equipment pair includes the end device, the start device, and the transfer loss. The transfer loss specifically refers to the distance / cost / cost, etc. of transferring materials from one device to another device. The specific type of transfer loss can be set according to actual production requirements. Based on the connection relationship triples corresponding to different equipment pairs, a complete directed graph of the drill bit logistics system can be generated. Each node in the graph represents a specific device, the direction of the edge represents the flow direction of the logistics, and the weight of the edge represents the transfer loss. Logistics connection between two devices can be achieved through other devices, and the total transfer loss of transferring materials between them is the sum of the transfer losses passing through other devices.
[0108] Exemplarily, for the logistics connection model, equipment pairs with logistics connection relationships in the drill bit logistics system can be pre-identified, and this connection relationship can be described by the connection relationship triple. The triple (Des, Src, Dist / Cost), where Des represents the end device, Src represents the start device, and Dist / Cost represents the distance / cost / cost of transferring materials from Src to Des. After constructing all the triples of the physical logistics connection relationships between two devices, a directed graph structure is constructed based on these triples. Then, based on the specified logistics goal and using the corresponding solution algorithm, all reachable logistics connection relationships for a specific Des can be obtained. The preset logistics goal is related to the transfer loss in the triple establishment process. For example, if the transfer loss is set as the distance, the preset logistics goal can include minimizing the logistics transportation distance; if the transfer loss is set as the cost, the preset logistics goal can include minimizing the logistics cost. The directed graph of the drill bit logistics system can be referred to Figure 6 As shown, there is a one-way logistics connection relationship from device D to device A, and the transfer loss of transferring materials is 5. Starting from device D, there are 3 logistics relationships connecting to device A, namely device D → device A, device D → device B → device A, and device D → device C → device A, and the total transfer losses of transferring materials are 5, 4, and 6 respectively. In this embodiment, the logistics connection relationship of the drill bit logistics system is modeled by establishing the connection relationship triple, and then the efficient logistics transfer between devices in the system can be realized based on the logistics connection model, while effectively optimizing the logistics loss.
[0109] In an exemplary embodiment, obtaining the logistics demand information of the demand-side equipment in the drill bit logistics system includes: obtaining the historical demand information and current demand information of various specifications of drill bits within the observation window; inputting the historical demand information into a demand prediction model to obtain the predicted demand information corresponding to each specification of drill bit, where the demand prediction model is trained based on the demand data of various specifications of drill bits in the historical data; summarizing the predicted demand information, historical demand information, and current demand information to obtain the logistics demand information.
[0110] Exemplarily, when obtaining the logistics demand information, the present application can combine the historical demand information to predict and process the future logistics demand information. That is, a demand prediction model is trained in advance with the demand data of various specifications of drill bits in the historical data, and then the demand information of the demand-side equipment is predicted in advance based on the model to assist in generating the inventory adjustment strategy in the inventory management process. Suppose is the material number (here the material number refers to the specification model of the drill bit, the same below) in the historical demand information within the observation window, is the feature generation and transformation function in the demand prediction model, is a neural network model for demand prediction, then the predicted demand quantity of the material number in the future at time is:
[0111]
[0112] where, represents the historical demand information of the material number . In addition, the predicted logistics demand information can be provided to the logistics system together with the historical demand information and real-time logistics demand information to ensure the comprehensiveness of the data and improve the analysis accuracy. In this embodiment, by using the demand prediction model to predict the future drill bit demand information based on the historical demand information, and then summarizing the predicted demand information, historical demand information, and current demand information to obtain the logistics demand information, the accuracy and processing efficiency of demand prediction can be effectively improved.
[0113] In an exemplary embodiment, step 506 includes: for each automated storage and retrieval system (AS / RS), based on the logistics demand information, determining the inventory consumption speed of various specifications of drill bits in the AS / RS; according to the inventory information and inventory consumption speed of various specifications of drill bits in the AS / RS, for each AS / RS, modeling the inventory consumption process of various specifications of drill bits to obtain the inventory consumption information; based on the inventory consumption information, generating the inventory adjustment strategy for various specifications of drill bits in the AS / RS.
[0114] Exemplarily, the inventory consumption rate is used to characterize the change in the inventory volume of various specifications of drill bits in the three-dimensional warehouse per unit time. For each type of drill bit in each three-dimensional warehouse, the inventory consumption rate can be determined through the real-time received logistics demand information and the predicted logistics demand information. By combining the current inventory information in the three-dimensional warehouse and the inventory consumption rate, the inventory consumption process of various specifications of drill bits can be modeled to obtain inventory consumption information. The inventory information includes real-time inventory, safety inventory of the three-dimensional warehouse, inventory upper limit, and other information. The specific process of modeling the inventory consumption process through the inventory consumption information can refer to Figure 7 as shown, where represents the demand arrival time; represents the replenishment start time; represents the demand satisfaction / end time; represents the idle time after demand satisfaction / end; is the demand quantity; is the inventory upper limit, which is equal to the current inventory quantity at time; is the replenishment line; is the safety inventory line. For an inventory consumption process, at time, the demand is known, and the inventory consumption process starts from this time, such as the processes ①, ②, and ③ shown in Figure 7 ; when the inventory quantity is consumed to the replenishment line , replenishment actions need to be started, and the dynamic change process of the inventory quantity after the replenishment actions is ② or ③.
[0115] Therefore, for the inventory consumption process, assuming that the demand is received at time, the following three major relationships should exist:
[0116] Relationship 1: From time to time, the sum of the consumption quantity in process ① and the replenishment quantity in the dynamic process should at least meet the demand quantity and at most reach the sum of the demand quantity and the inventory upper limit:
[0117]
[0118] where, is the replenishment speed.
[0119] Relationship 2: From time to time, the sum of the inventory quantity in process ③ and the replenishment quantity in the dynamic process minus the consumption quantity in the dynamic process should be at least greater than the safety inventory:
[0120]
[0121] where, is the consumption speed.
[0122] Relation 3: Self Start time, inventory quantity at the start time The sum of the replenishment amount in the dynamic process, minus the demand, is at least greater than the safety stock:
[0123]
[0124] Therefore, inventory consumption information can be combined with the above three relationships to generate inventory adjustment strategies for drill bits of various specifications in the three-dimensional warehouse, such as three-dimensional warehouse replenishment strategy, three-dimensional warehouse return strategy, etc. In addition to inventory adjustment strategies, three-dimensional warehouse inventory configuration strategies can also be generated to update and adjust the inventory information of the three-dimensional warehouse, such as adjusting the safety inventory and inventory limit of the three-dimensional warehouse, so as to achieve the above-mentioned inventory consumption process, ensure the effective management of drill bit inventory, and ensure the efficient flow of drill bit logistics process and normal production and processing process. In this embodiment, the inventory consumption process of drill bits is modeled based on the logistics needs of the three-dimensional warehouse, and inventory consumption information is obtained, so as to formulate effective inventory adjustment strategies to ensure that inventory adjustment and logistics management are carried out accurately and efficiently.
[0125] In an exemplary embodiment, based on the inventory information and inventory consumption rate of drill bits of various specifications in the three-dimensional warehouse, the inventory consumption process of drill bits of various specifications is modeled for each three-dimensional warehouse. Before obtaining the inventory consumption information, it also includes: determining the current inventory information of drill bits of various specifications in each three-dimensional warehouse, as well as the historical demand information and current demand information of the demand side for drill bits of various specifications; based on the current inventory information, historical demand information and current demand information, determining the safety stock and inventory upper limit of drill bits of various specifications in the three-dimensional warehouse through Bayesian estimation; based on the safety stock and inventory upper limit, updating the inventory information of drill bits of various specifications in the three-dimensional warehouse.
[0126] Among them, Bayesian estimation is a statistical method based on Bayesian theorem, which mainly infers unknown parameters by combining prior knowledge and observed data, and is particularly suitable for processing data that conforms to the normal distribution. In the scheme of this application, Bayesian estimation is mainly used to realize the adjustment of the inventory upper limit and safety stock in the three-dimensional warehouse inventory. As for historical demand information and current demand information, current demand information refers to the demand information generated by needle matching machines, needle matching box sorting, cache libraries, box sorting and other equipment that has not yet been met. These demand information will be submitted in the form of work orders and queued in order. The work order contains the drill model and quantity required by the demand side. Historical demand information is demand information that is already in a completed state.
[0127] Exemplarily, in addition to the inventory adjustment strategy, the present application can also adjust the inventory information in the automated storage and retrieval system (AS / RS) through the AS / RS inventory configuration strategy. For the process of adjusting the inventory information of the AS / RS, specifically, the Bayesian estimation method can be used to adjust information such as the inventory upper limit and safety stock, so as to ensure the effectiveness of the inventory management process and conform to the above three major relationships of inventory consumption. Therefore, the current inventory information of various specifications of drill bits in each AS / RS can be determined first, as well as the historical demand information and current demand information of various specifications of drill bits at the demand side. Then, based on this information, Bayesian estimation processing is carried out to determine the prior distribution and posterior distribution of Bayesian estimation, and then the real-time inventory information is adjusted through the posterior distribution. In this embodiment, by setting the AS / RS inventory configuration strategy, the inventory upper limit and safety stock of various models of drill bits in the AS / RS are dynamically adjusted, the inventory structure is dynamically optimized, the smooth operation of replenishment and return of goods is guaranteed, inventory backlog or shortage is avoided, the space utilization rate and material turnover efficiency of the AS / RS are improved, and the refinement and intelligence of inventory management are realized.
[0128] Further, based on the current inventory information, historical demand information, and current demand information, determining the safety stock and inventory upper limit of various specifications of drill bits in the AS / RS includes: generating Bayesian prior distribution parameters based on the current inventory information, historical demand information, and current demand information of various specifications of drill bits at the demand side; generating Bayesian posterior distribution parameters based on the newly observed demand information and Bayesian prior distribution parameters; obtaining the service level coefficient, replenishment lead time, and demand forecast coverage period corresponding to the AS / RS; determining the safety stock of various specifications of drill bits based on the service level coefficient, replenishment lead time, and Bayesian posterior distribution parameters; and determining the inventory upper limit of various specifications of drill bits based on the replenishment lead time, demand forecast coverage period, Bayesian posterior distribution parameters, and safety stock.
[0129] Exemplarily, for the process of Bayesian estimation, specifically, the current inventory information, historical demand information, and current demand information of various specifications of drill bits in each AS / RS can be determined first, and then based on the inventory and actual demand information, the prior distribution of Bayesian estimation is established. For example, for a specified AS / RS, the current inventory information of the warehouse is monitored in real time , historical demand information and current known demand information to comprehensively judge whether the inventory upper limit and safety stock of each item number in the current warehouse need to be adjusted, and whether the current inventory structure needs to be optimized. First, obtain the current inventory information, historical demand information, and current demand information of the current warehouse. Then, calculate the normal prior distribution based on the obtained data first:
[0130]
[0131] where, , 。
[0132] Then, based on the newly observed demand information and the Bayesian prior distribution parameters, generate the Bayesian posterior distribution parameters. Based on each received newly observed demand data , update the posterior parameters:
[0133]
[0134]
[0135] wherein, is the mean value of the newly observed demand data, is the variance of the newly observed demand data.
[0136] After that, based on Bayesian estimation and combined with various known information, update the safety stock and the inventory upper limit. Specifically, it is necessary to obtain the service level coefficient, replenishment lead time, and demand forecast coverage period corresponding to the automated storage and retrieval system as known information. By combining the service level coefficient, replenishment lead time, and Bayesian posterior distribution parameters, determine the safety stock of various specifications of drill bits. By combining the replenishment lead time, demand forecast coverage period, Bayesian posterior distribution parameters, and safety stock, determine the inventory upper limit of various specifications of drill bits. These two processes can be expressed as:
[0137]
[0138]
[0139] wherein, is the service level coefficient, is the replenishment lead time, is the demand forecast coverage period. Finally, generate the inventory configuration task for the automated storage and retrieval system , to realize the update and adjustment processing of the inventory information of the automated storage and retrieval system in the system. In this embodiment, through Bayesian estimation and combined with specific inventory demands, model the inventory of the automated storage and retrieval system, so as to accurately estimate the safety stock and the inventory upper limit, and can effectively ensure the rationality of inventory configuration and inventory adjustment.
[0140] In an exemplary embodiment, the inventory adjustment strategy includes the replenishment strategy for the automated storage and retrieval system (AS / RS). Based on the inventory consumption information, generating the inventory adjustment strategy for various specifications of drill bits in the AS / RS includes: based on the inventory consumption information, determining the current inventory information of various specifications of drill bits in the AS / RS to obtain the inventory upper limit, safety stock, and replenishment speed of the AS / RS, as well as the current demand information and predicted demand information of various specifications of drill bits at the demand side; obtaining the demand urgency, demand consumption speed, and demand prediction accuracy of various specifications of drill bits at the demand side; based on the current inventory information, inventory upper limit, safety stock, current demand information, predicted demand information, demand urgency, demand consumption speed, and demand prediction accuracy, determining the replenishment priority of various specifications of drill bits, and based on the current inventory information, inventory upper limit, safety stock, replenishment speed, current demand information, predicted demand information, demand consumption speed, and demand prediction accuracy, determining the replenishment quantity of various specifications of drill bits; based on the replenishment priority and replenishment quantity, generating the replenishment strategy for various specifications of drill bits in the AS / RS.
[0141] Exemplarily, the inventory adjustment strategy may include the replenishment strategy for the automated storage and retrieval system (AS / RS), that is, replenishing drills of a specified specification into a specific AS / RS. The replenishment strategy for the AS / RS uses pull replenishment, and its core idea is that the source warehouse is pulled to replenish by the demand side and the replenishment demand of the AS / RS itself. The source warehouse here refers to, in the actual logistics connection relationship, taking a certain device or a certain AS / RS at the demand side as the end device, and the starting warehouse with an actual logistics connection relationship with the end device. Logically, the inlet of the AS / RS is regarded as an AS / RS with an infinite capacity. For the specific process of replenishment processing, first, based on the inventory consumption information, determine the current inventory information of various specifications of drills in the AS / RS, obtain the inventory upper limit, safety inventory, and replenishment speed of the AS / RS, as well as the current demand information and predicted demand information of various specifications of drills at the demand side. The inventory consumption information is obtained from the initial inventory information at the beginning of modeling and the inventory consumption speed during the work process, and the logistics demand information is introduced. Therefore, the inventory consumption information here includes: current inventory information (the initial inventory minus the consumption during the work process), historical demand information (the actual received demands of various types during the work process), and the currently known demand information (obtained through the logistics demand information), and the predicted future demand information (obtained through the demand prediction model). So, the current demand information and predicted demand information of drills at the demand side can be directly obtained from it. In addition, for the replenishment process, it is also necessary to combine the demand urgency of various specifications of drills, the consumption speed at the demand side, the replenishment speed, and the demand prediction accuracy. Among them, the demand urgency of different types of drills is specifically determined by the order of work orders proposed by the demand side. After obtaining the above various types of information, these information can be specifically applied to calculate the replenishment priority and replenishment quantity. The replenishment priority is used to determine the order of material replenishment, and the replenishment quantity determines the quantity of material replenishment. When applying, the demand prediction model can be specifically used to predict future demand information , combined with the current inventory information, inventory upper limit, safety inventory, current demand information, predicted demand information, demand urgency, consumption speed at the demand side, and demand prediction accuracy, calculate the replenishment priority of each item number :
[0142]
[0143] Herein, represents the real demand information and predicted demand information at the current moment, is the demand urgency of the item number at the current moment, represents the current inventory information, represents the inventory upper limit, represents the safety inventory, is the consumption speed at the demand side of the item number at the current moment, is the demand prediction accuracy of the item number at the current moment.
[0144] And calculate the replenishment quantity for each replenishment-required part number (corresponding to a type of drill bit specification) based on the current inventory information, inventory upper limit, safety stock, replenishment speed, current demand information, forecast demand information, demand-side consumption speed, and demand forecast accuracy. :
[0145]
[0146] Among them, is the replenishment speed of the part number at the current moment.
[0147] After that, combine the replenishment priority and the replenishment quantity to generate the three-dimensional warehouse replenishment strategy for various types of drill bits in the three-dimensional warehouse. For the replenishment strategy, a logistics processing task can also be created in combination with the logistics connection model. Specifically, the transfer plan for each replenishment-required part number can be calculated based on the logistics connection relationship between devices. The factors considered when calculating the transfer plan include: the inventory quantity in the source warehouse, transfer distance / cost / cost, and the congestion degree of the logistics line, and finally the corresponding replenishment task is generated. In this embodiment, the inventory in the three-dimensional warehouse is adjusted through the three-dimensional warehouse replenishment strategy, so that the required drill bits are as close as possible to the demand side of devices such as the needle feeder, thereby reducing the waiting time at the demand side and maximizing the operating efficiency of the demand-side devices.
[0148] In an exemplary embodiment, the inventory adjustment strategy includes a three-dimensional warehouse return strategy. The inventory adjustment strategy for various types of drill bits in the three-dimensional warehouse generated based on the inventory consumption information includes: determining the current inventory information of various types of drill bits in the three-dimensional warehouse, as well as the historical demand information, current demand information, and forecast demand information of the demand side for various types of drill bits based on the inventory consumption information; obtaining the demand forecast accuracy of the demand side for various types of drill bits; determining the return priority and return quantity of various types of drill bits based on the current inventory information, historical demand information, current demand information, forecast demand information, and demand forecast accuracy; generating the three-dimensional warehouse return strategy for various types of drill bits in the three-dimensional warehouse based on the return priority and return quantity.
[0149] Exemplarily, the inventory adjustment strategy may also include a warehouse withdrawal strategy, which is to remove materials of specified specifications that are no longer needed from the current warehouse. There are two destinations for materials to be transferred out of the warehouse: one is to transfer from one warehouse to another; the other is to completely remove them from the warehouse and leave the drill management system. As for the specific process of replenishment, the current inventory information, historical demand information, current demand information, predicted demand information, and demand forecast accuracy of drills of various specifications in each warehouse can be determined based on inventory consumption information. Then, based on this information, the withdrawal priority and withdrawal quantity are calculated, where the withdrawal priority is used to determine the order in which materials are withdrawn, and the withdrawal quantity determines the number of materials withdrawn. When applied, the demand forecasting model can be used to predict future demand information. , real-time monitoring of the library's current inventory 、Current demand information , forecast demand information , Historical demand information , comprehensively calculate the material return priority and return quantity. The calculation process:
[0150]
[0151] And calculate the replenishment quantity of each material number that needs to be replenished (corresponding to a type of drill bit specification) :
[0152]
[0153] Then, the warehouse return strategy for various specifications of drill bits in the warehouse is generated by combining the return priority and return quantity. For the return strategy, the logistics connectivity model can also be combined to create logistics processing tasks. Specifically, the warehouse transfer plan for each material number that needs to be returned can be calculated based on the logistics connectivity relationship between equipment. Factors considered when calculating the return plan include: the inventory of the target warehouse, the transfer distance / cost / price, and the congestion of the logistics line, and finally the corresponding replenishment task is generated. In this embodiment, the warehouse inventory is adjusted through the warehouse return strategy to ensure that materials that are no longer needed can be removed from the warehouse in a timely and orderly manner or the inventory can be reduced, freeing up storage space for new materials or frequently used materials, reducing inventory backlogs, maintaining a reasonable structure and dynamic balance of inventory, and improving the logistics fluency and overall operational efficiency between warehouses.
[0154] In a specific embodiment, the equipment layout of the drill bit management system in this application can be specifically referred to Figure 3As shown in the figure. When the drill bit management system is initially implemented, the stacker and the logistics line are used to connect the logistics of each device. After that, the mechanical, electrical, and software of each device are jointly debugged to ensure the normal basic functions of the drill bit management system. After the joint debugging of the drill bit management system is completed, the modeling method of the "logistics connection model" of this application is used to model the logistics connection relationship of the devices logically. For example:
[0155]
[0156]
[0157]
[0158] Among them, SA_x represents the three-dimensional warehouse number, SA_0 represents the inlet number, and GA_x represents the needle matching machine. The modeling method of the logistics connection relationship of the remaining devices is similar and will not be elaborated here. Here, SA_1 is equivalent to three-dimensional warehouse 1, SA_2 is equivalent to three-dimensional warehouse 2, and the same applies hereinafter. Due to the lack of historical data for the new devices, the inventory of the two three-dimensional warehouses is simply configured. For example, the following settings are made for the drill bits of models A, B, and C:
[0159] (SA_1, A, 4500, 450)
[0160] (SA_1, B, 90000, 4500)
[0161] (SA_1, C, 50000, 9000)
[0162] Among them, the first element of each quadruple represents the three-dimensional warehouse number, the second element represents the part number, the third element represents the upper limit of the inventory, and the fourth element represents the safety inventory. After that, the two three-dimensional warehouses are logically made to store the corresponding part numbers, realizing the initialization setting of the inventory structure. At this time, using the replenishment strategy of the three-dimensional warehouse, the replenishment tasks of the two three-dimensional warehouses can be calculated and generated. Taking the drill bit of model A in warehouse SA_1 as an example, first calculate the priority of part number A:
[0163]
[0164] Then calculate the replenishment quantity of part number A:
[0165]
[0166] Finally, generate the replenishment task:
[0167] {T_03, SA_1, SA_0, A, 300}
[0168] This replenishment task The first element is the replenishment task number, the second element is the number of the automated storage and retrieval system (AS / RS) to be replenished, the third element is the source warehouse number, the fourth element is the part number to be replenished, and the fifth element is the replenishment quantity; that is to say, the replenishment task numbered T_03 is to replenish 300 A-type drill bits from the inlet to the SA_1 warehouse.
[0169] At this time, for the A-type replenishment task of the above-mentioned AS / RS 1, 300 parts need to be replenished from the inlet. Also, because AS / RS 2 lacks A-type parts, the generated replenishment task clearly indicates that replenishment is required from the inlet. The part number and its quantity indicated by the corresponding replenishment task are replenished into the AS / RS manually or by other automated means.
[0170] When there is a demand task at the demand-side device, such as when the needle dispensing machine receives a needle dispensing work order, the replenishment task calculation logic at this time is the same as the above-mentioned replenishment task calculation logic. Input the real demand information and predicted demand information at the current moment, the demand urgency information of the part number at the current moment, the inventory quantity of the part number in all AS / RSs at the current moment, the corresponding inventory upper limit at the current moment, the corresponding safety inventory at the current moment, the consumption speed of the part number at the demand side at the current moment, and the demand prediction accuracy of the part number at the current moment, and the replenishment priority of the part number can be calculated. The subsequent processes of calculating the replenishment quantity and generating the replenishment task are similar to the foregoing. Input the corresponding data to complete the calculation, which will not be elaborated here.
[0171] Based on the automatic logistics system constructed by the stacker and the logistics line of the present application, the drill bit management system transports the drill bits to the corresponding equipment, for example, from the inlet to AS / RS 1, and from AS / RS 1 to the needle dispensing machine; after the needle dispensing machine completes the needle dispensing, it is connected to the cartridge handling equipment of the present application to send the drill bits to equipment such as a grinding machine and a drilling machine.
[0172] After the drill bit management system runs for a period of time, a large amount of sluggish inventory may be generated in the AS / RS, and the inventory structure of the AS / RS is not reasonable, affecting the operation efficiency of the AS / RS. Use the inventory configuration strategy of the AS / RS to optimize the inventory structure. Suppose 10 new observed demand data of A-type have been received. Calculate that the mean of these 10 new demand data is 103.3 and the variance is 20, while the mean of the historical demand within the past 10-day observation window is 100 and the variance is 25. Thus, the posterior mean and posterior variance can be calculated as follows:
[0173]
[0174]
[0175] Calculate the new safety inventory and inventory upper limit:
[0176]
[0177]
[0178] Both the new safety stock and the inventory upper limit need to be rounded up to 4,519; using the rounded-up safety stock and inventory upper limit, the inventory structure of the automated storage and retrieval system can be adjusted. All the data used in the calculations here are examples.
[0179] When the automated storage and retrieval system is full and cannot replenish materials, or when the inventory structure is periodically optimized, the return strategy of the automated storage and retrieval system can be used to generate return tasks for specific part numbers. After executing the return tasks, the inventory structure of the automated storage and retrieval system will be dynamically and real-time optimized, and the dead inventory in the automated storage and retrieval system can be physically reduced. The calculation process for generating return tasks is similar to the process for generating replenishment tasks of the automated storage and retrieval system described above, and will not be elaborated here.
[0180] Operating the inventory configuration strategy, replenishment strategy, and return strategy of the automated storage and retrieval system at an appropriate frequency can effectively improve the operating efficiency of the automated storage and retrieval system, effectively improve the operating efficiency of the equipment at the demand side, and thus improve the overall operating efficiency of the drilling room.
[0181] It should be understood that although the steps in the flowcharts involved in the above embodiments are shown in sequence according to the arrows, these steps do not necessarily need to be executed in the order indicated by the arrows. Unless there is a clear description in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily need to be executed at the same moment, but can be executed at different moments. The execution order of these steps or stages does not necessarily need to be sequential, but can be executed alternately or in turn with at least some of the steps or stages in other steps or other steps.
[0182] Based on the same inventive concept, the embodiments of the present application also provide a drill bit inventory management device for implementing the drill bit inventory management method involved above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the drill bit inventory management device provided below can refer to the limitations on the drill bit inventory management method based on logistics management in the above text, and will not be elaborated here.
[0183] In an exemplary embodiment, as Figure 8 shown, a drill bit inventory management device is provided, which is set in the above drill bit logistics system. The device includes:
[0184] A connectivity relationship modeling module 801, configured to model the logistics connectivity relationship between different devices in the drill bit logistics system through a directed graph to obtain a logistics connectivity model.
[0185] A demand acquisition module 803 is configured to acquire the logistics demand information of the demand-side equipment in the drill bit logistics system.
[0186] An inventory strategy generation module 805 is configured to determine the inventory consumption information of the three-dimensional warehouse in the drill bit management system based on the logistics demand information, and generate an inventory adjustment strategy corresponding to the inventory consumption information.
[0187] A logistics processing module 807 is configured to create a logistics processing task corresponding to the inventory adjustment strategy based on the logistics connectivity model.
[0188] In one embodiment, the connectivity relationship modeling module 801 is specifically configured to: identify pairs of devices with a logistics connectivity relationship in the drill bit logistics system; construct a connectivity relationship triple for the device pair, where the connectivity relationship triple includes an end device, a start device, and a transfer loss; generate a directed graph of the drill bit logistics system based on the connectivity relationship triple; and construct a logistics connectivity model of the drill bit logistics system based on the directed graph and a preset logistics target, where the preset logistics target corresponds to the transfer loss.
[0189] In one embodiment, the demand acquisition module 803 is specifically configured to: acquire the historical demand information and current demand information of various specifications of drill bits within the observation window; input the historical demand information into a demand prediction model to obtain the predicted demand information corresponding to each type of specification of drill bit, where the demand prediction model is trained based on the demand data of various specifications of drill bits in the historical data; and summarize the predicted demand information, historical demand information, and current demand information to obtain the logistics demand information.
[0190] In one embodiment, the inventory strategy generation module 805 is specifically configured to: for each three-dimensional warehouse, determine the inventory consumption speed of various specifications of drill bits in the three-dimensional warehouse based on the logistics demand information; model the inventory consumption process of various specifications of drill bits for each three-dimensional warehouse according to the inventory information and inventory consumption speed of various specifications of drill bits in the three-dimensional warehouse to obtain the inventory consumption information; and generate an inventory adjustment strategy for various specifications of drill bits in the three-dimensional warehouse based on the inventory consumption information.
[0191] In one embodiment, it further includes an inventory information adjustment module, which is configured to: determine the current inventory information of various specifications of drill bits in each three-dimensional warehouse, as well as the historical demand information and current demand information of various specifications of drill bits from the demand side; determine the safety inventory and inventory upper limit of various specifications of drill bits in the three-dimensional warehouse through Bayesian estimation based on the current inventory information, historical demand information, and current demand information; and update the inventory information of various specifications of drill bits in the three-dimensional warehouse based on the safety inventory and inventory upper limit.
[0192] In one embodiment, the inventory information adjustment module is specifically configured to: generate Bayesian prior distribution parameters based on the current inventory information, historical demand information, and current demand information; generate Bayesian posterior distribution parameters based on the newly observed demand information and the Bayesian prior distribution parameters; obtain the service level coefficient, replenishment lead time, and demand forecast coverage period corresponding to the automated storage and retrieval system; determine the safety stock of drill bits of various specifications based on the service level coefficient, replenishment lead time, and Bayesian posterior distribution parameters; and determine the inventory upper limit of drill bits of various specifications based on the replenishment lead time, demand forecast coverage period, Bayesian posterior distribution parameters, and safety stock.
[0193] In one embodiment, the inventory adjustment strategy includes an automated storage and retrieval system replenishment strategy; the inventory strategy generation module 805 is specifically configured to: determine the current inventory information of drill bits of various specifications in the automated storage and retrieval system based on the inventory consumption information, to obtain the inventory upper limit, safety stock, and replenishment speed of the automated storage and retrieval system, as well as the current demand information and predicted demand information of the demand side for drill bits of various specifications; obtain the demand urgency, demand consumption speed, and demand forecast accuracy of the demand side for drill bits of various specifications; determine the replenishment priority of drill bits of various specifications based on the current inventory information, inventory upper limit, safety stock, current demand information, predicted demand information, demand urgency, demand consumption speed, and demand forecast accuracy, and determine the replenishment quantity of drill bits of various specifications based on the current inventory information, inventory upper limit, safety stock, replenishment speed, current demand information, predicted demand information, demand consumption speed, and demand forecast accuracy; and generate an automated storage and retrieval system replenishment strategy for drill bits of various specifications in the automated storage and retrieval system based on the replenishment priority and replenishment quantity.
[0194] In one embodiment, the inventory adjustment strategy includes an automated storage and retrieval system return strategy; the inventory strategy generation module 805 is specifically configured to: determine the current inventory information of drill bits of various specifications in the automated storage and retrieval system, as well as the historical demand information, current demand information, and predicted demand information of the demand side for drill bits of various specifications based on the inventory consumption information; obtain the demand forecast accuracy of the demand side for drill bits of various specifications; determine the return priority and return quantity of drill bits of various specifications based on the current inventory information, historical demand information, current demand information, predicted demand information, and demand forecast accuracy; and generate an automated storage and retrieval system return strategy for drill bits of various specifications in the automated storage and retrieval system based on the return priority and return quantity.
[0195] Each module in the above drill bit inventory management device based on logistics management can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above respective modules.
[0196] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structural diagram may be as shown in Figure 9 . The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. The computer program, when executed by the processor, implements a drill bit inventory management method. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.
[0197] Those skilled in the art can understand that Figure 9 the structure shown in is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.
[0198] In an embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.
[0199] In an embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.
[0200] In one embodiment, a computer program product or a computer program is provided. The computer program product or the computer program includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, causing the computer device to perform the steps in the foregoing method embodiments.
[0201] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.
[0202] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.
[0203] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in the present application.
[0204] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims
1. A drill bit logistics system, characterized in that: The drill logistics system includes a drill management system, which includes a three-dimensional warehouse, a needle matching machine, a needle return machine and a box sorting machine. The three-dimensional warehouse is used to store material boxes loaded with drill bits, and the material box is a box for loading drill bits. The needle matching machine is used to distribute small batches of drill bits of multiple specifications to the same material box. The needle return machine is used to take out drill bits of different models from the material box and put them back into the material box of corresponding models. The box sorting machine is used to sort the material box into the material box, and the material box is used to load the material box. The three-dimensional warehouse, the needle matching machine, the needle return machine and the box sorting machine are connected. The material picking and placing mechanism is connected to the logistics line. The material picking and placing mechanism is arranged at the corresponding position of the three-dimensional warehouse, and is used to take the material box from the three-dimensional warehouse and is placed on the logistics line to transport the material box to at least one of the needle matching machine, the needle return machine and the box sorting machine. The material picking and placing mechanism is also used to take the material box from the logistics line and store the material box obtained from the logistics line into the three-dimensional warehouse. The drill bit management system is also provided with a docking interface with external equipment. The drill bit management system is connected with the external equipment at the docking interface through the material box handling equipment.
2. The system according to claim 1, characterized in that The drill bit logistics system also includes a drilling rig and a grinder. The drilling rig, the grinder and the drill bit management system are connected via a material box handling device, and the material box handling device is used to handle the material box.
3. The system according to claim 1, characterized in that The drill bit management system also includes a box sorting machine and a box flipping machine. The box sorting machine is used to take out drill bits of small specifications and large quantities from different material boxes. The box flipping machine is used to change the orientation of the drill bits loaded in the material boxes. The three-dimensional warehouse, the needle matching machine, the return needle machine, the box sorting machine, the box sorting machine and the box flipping machine are connected through a material picking and placing mechanism and a logistics line. The box sorting machine includes a return needle box sorting machine and a needle matching box sorting machine. The box sorting machine includes a return needle box sorting machine and a needle matching box sorting machine. The box flipping machine includes a storage box flipping machine, a pre-grinding box flipping machine and a post-grinding box flipping machine.
4. The system according to claim 1, characterized in that The drill bit management system also includes a cache library, which is used to temporarily store the material box. The cache library is independently arranged in the drill bit management system, or the cache library is arranged as a cache component in the needle matching machine and the needle return machine. When the cache library is independently arranged in the drill bit management system, the three-dimensional library, the needle matching machine, the needle return machine, the cache library and the box sorting machine are connected through a material picking and placing mechanism and a logistics line.
5. A drill bit inventory management method, applied to any drill bit logistics system in claims 1 to 4, characterized in that: The method comprises: Modeling the logistics connectivity relationship of different equipment in the drill bit logistics system through a directed graph to obtain a logistics connectivity model; Obtaining logistics demand information of demand-side equipment in the drill bit logistics system; Determine the inventory consumption information of the three-dimensional warehouse in the drill management system based on the logistics demand information, and generate an inventory adjustment strategy corresponding to the inventory consumption information; A logistics processing task corresponding to the inventory adjustment strategy is created based on the logistics connectivity model.
6. The method according to claim 5, characterized in that The logistics connectivity relationship of different equipment in the drill bit logistics system is modeled by a directed graph to obtain a logistics connectivity model including: Identifying a pair of devices having a logistics connectivity relationship in the drill bit logistics system; Constructing a connectivity relationship triplet of the device pair, wherein the connectivity relationship triplet includes an end point device, a start point device, and a transfer loss; Based on the connectivity relationship triples, generating a directed graph of the drill bit logistics system; Based on the directed graph and the preset logistics target, a logistics connectivity model of the drill bit logistics system is constructed, and the preset logistics target corresponds to the transfer loss.
7. The method according to claim 5, characterized in that The obtaining of logistics demand information of demand-side equipment in the drill bit logistics system includes: Obtain historical and current demand information for drill bits of various specifications within the observation window; Inputting the historical demand information into a demand prediction model to obtain predicted demand information corresponding to drill bits of various specifications, wherein the demand prediction model is trained based on demand data of drill bits of various specifications in historical data; The predicted demand information, the historical demand information and the current demand information are aggregated to obtain logistics demand information.
8. The method according to claim 5, characterized in that The determining of the inventory consumption information of the three-dimensional warehouse in the drill management system based on the logistics demand information and generating an inventory adjustment strategy corresponding to the inventory consumption information includes: For each three-dimensional warehouse, based on the logistics demand information, determine the inventory consumption rate of drill bits of various specifications in the three-dimensional warehouse; According to the inventory information and inventory consumption speed of drill bits of various specifications in the three-dimensional library, for each three-dimensional library, the inventory consumption process of drill bits of various specifications is modeled to obtain inventory consumption information; Based on the inventory consumption information, an inventory adjustment strategy for drill bits of various specifications in the three-dimensional library is generated.
9. The method according to claim 8, characterized in that According to the inventory information and inventory consumption speed of drill bits of various specifications in the three-dimensional library, for each three-dimensional library, the inventory consumption process of drill bits of various specifications is modeled, and before obtaining the inventory consumption information, the method further includes: Determine the current inventory information of drill bits of various specifications in each three-dimensional library, as well as the historical and current demand information of drill bits of various specifications on the demand side; Based on the current inventory information, historical demand information and current demand information, determine the safety inventory and inventory upper limit of drill bits of various specifications in the three-dimensional library through Bayesian estimation; Based on the safety stock and the upper limit of stock, the stock information of drill bits of various specifications in the three-dimensional library is updated.
10. The method according to claim 9, characterized in that The method of determining the safety stock and stock limit of drill bits of various specifications in the three-dimensional library by Bayesian estimation based on the current inventory information, historical demand information and current demand information includes: Generate Bayesian prior distribution parameters based on the current inventory information, the historical demand information and the current demand information; Generate Bayesian posterior distribution parameters based on the newly observed demand information and the Bayesian prior distribution parameters; Obtaining the service level coefficient, replenishment lead time and demand forecast coverage period corresponding to the three-dimensional warehouse; Determine the safety stock of drill bits of various specifications based on the service level coefficient, the replenishment lead time and the Bayesian posterior distribution parameter; Based on the replenishment lead time, the demand forecast coverage period, the Bayesian posterior distribution parameter and the safety stock, the inventory upper limit of drill bits of various specifications is determined.
11. The method according to claim 8, characterized in that The inventory adjustment strategy includes a three-dimensional warehouse replenishment strategy; The inventory adjustment strategy for generating various specifications of drill bits in the three-dimensional library based on the inventory consumption information includes: Based on the inventory consumption information, determine the current inventory information of drill bits of various specifications in the three-dimensional warehouse, obtain the inventory upper limit, safety inventory and replenishment speed of the three-dimensional warehouse, and the current demand information and predicted demand information of drill bits of various specifications on the demand side; Obtain the urgency of demand for drill bits of various specifications, the consumption speed of the demand side, and the accuracy of demand forecast; Based on the current inventory information, the inventory upper limit, the safety inventory, the current demand information, the predicted demand information, the demand urgency, the demand-side consumption speed, and the demand prediction accuracy, determine the replenishment priority of drill bits of various specifications; based on the current inventory information, the inventory upper limit, the safety inventory, the replenishment speed, the current demand information, the predicted demand information, the demand-side consumption speed, and the demand prediction accuracy, determine the replenishment quantity of drill bits of various specifications; Based on the replenishment priority and the replenishment quantity, a three-dimensional warehouse replenishment strategy for drill bits of various specifications in the three-dimensional warehouse is generated.
12. The method according to claim 8, characterized in that The inventory adjustment strategy includes a three-dimensional warehouse withdrawal strategy; The inventory adjustment strategy for generating various specifications of drill bits in the three-dimensional library based on the inventory consumption information includes: Based on the inventory consumption information, determine the current inventory information of drill bits of various specifications in the three-dimensional library, as well as the historical demand information, current demand information and predicted demand information of drill bits of various specifications on the demand side; Obtain the demand forecast accuracy for various specifications of drill bits on the demand side; Determine the destocking priority and destocking quantity of drill bits of various specifications based on the current inventory information, the historical demand information, the current demand information, the predicted demand information and the demand prediction accuracy; Based on the withdrawal priority and the withdrawal quantity, a three-dimensional warehouse withdrawal strategy for drill bits of various specifications in the three-dimensional warehouse is generated.
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