An integrated intelligent management system for warehousing and logistics based on LES

Abstract

The present invention belongs to the technical field of integrated management of warehousing and logistics, and relates to an integrated intelligent management system for warehousing and logistics based on LES. The present invention reduces the problem of excess or shortage of inventory caused by information lag by analyzing the replenishment plan of various types of goods in the target warehouse, reduces the loss caused by inventory backlog or expiration, and helps to understand the actual situation of the inventory in real time by analyzing the inventory and sorting needs of various types of goods in the target warehouse, timely discover and correct differences, and improve the accuracy of inventory data. By analyzing the feedback and evaluation of each type of goods located by each inventory of various types of goods in the target warehouse, it helps to deal with expired, damaged and other states of goods in a timely manner, which is conducive to reducing economic losses caused by backlog and deterioration of goods, etc. By analyzing the order waves of goods in the target warehouse, it helps to reduce the overlap and duplication of picking paths, and significantly improve picking efficiency, picking speed and accuracy.

Description

Technical Field

[0001] The present invention belongs to the technical field of integrated warehousing and logistics management, and relates to an integrated intelligent management system for warehousing and logistics based on LES. Background Art

[0002] Warehousing and logistics integration refers to the integration of warehousing and logistics distribution to achieve seamless connection of information, logistics and funds in the supply chain. With the rapid development of e-commerce, consumers have higher requirements for the speed and quality of logistics distribution. The traditional logistics management model is difficult to meet the rapidly changing market demand, while warehousing and logistics integration can improve logistics efficiency and reduce costs. Therefore, the intelligent management system for warehousing and logistics integration is of great significance and role.

[0003] In the prior art, there are also some related solutions involving integrated management of warehousing and logistics. For example, the invention patent application of a smart logistics supply chain financial integrated platform system with Chinese patent publication number CN114240046A includes a docking system, a receiving entry system, a transportation system, an unloading entry system, a warehousing management system, an order management system, a vehicle dispatching system, a cargo online tracking system and a control center system. By automatically matching and autonomously optimizing cargo resources and cargo transportation plans, the efficiency of inventory management and delivery management is improved, providing data support for the operation of merchants or manufacturers.

[0004] Although the above schemes have proposed some solutions for the integrated management of warehousing and logistics, they still have certain limitations: on the one hand, the existing schemes are mainly operated manually, which leads to inefficiencies such as cumbersome manual operations and poor information transmission. As a result, the problem of excess or shortage of inventory caused by information lags cannot be reduced, and to a certain extent, the losses caused by inventory backlog or expiration have also increased.

[0005] On the other hand, existing solutions often have problems such as large errors and poor coordination between various links in the supply chain, making it impossible to understand the actual inventory situation in real time, discover and correct differences in a timely manner, and deal with expired, damaged and other goods in a timely manner. This is not conducive to reducing economic losses caused by backlogs and deterioration of goods, and it is also impossible to shorten the processing time of orders and improve customer satisfaction. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, an integrated intelligent management system for warehousing and logistics based on LES is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an integrated intelligent management system for warehousing and logistics based on LES, including: a shelf replenishment module, which is used to obtain basic information of various types of goods in the target warehouse, analyze the shelf replenishment plan of various types of goods in the target warehouse, and execute it.

[0008] The shelf replenishment module includes a shelf replenishment plan analysis unit and a shelf replenishment execution unit.

[0009] The shelf replenishment plan analysis unit is used to analyze the shelf replenishment plan of various types of goods in the target warehouse.

[0010] The shelf replenishment execution unit is used to execute the shelf replenishment of various types of goods in the target warehouse.

[0011] The inventory and sorting module is used to obtain the status information of various types of goods in the target warehouse and analyze the inventory and sorting needs of various types of goods in the target warehouse.

[0012] The inventory and sorting module includes an inventory and sorting demand parsing unit and an inventory detection and analysis unit.

[0013] The inventory and sorting demand analysis unit is used to analyze and execute the inventory positions and sorting positions of various types of goods in the target warehouse.

[0014] The inventory detection and analysis unit is used to obtain inventory information of each inventory location of each type of goods in the target warehouse, and analyze the feedback evaluation of each type of goods in each inventory location of each type of goods in the target warehouse.

[0015] The picking and seeding module is used to obtain the cargo order information of the target warehouse, analyze the cargo order waves of the target warehouse, and pick and seed them.

[0016] The information storage library is used to store the shelving task quantity of various types of goods in the target warehouse and the number of intensive units of various types of goods in the target warehouse.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention obtains the basic information of various types of goods in the target warehouse, analyzes the shelf replenishment plan of various types of goods in the target warehouse, and executes it, which helps to reduce the problem of excess or shortage of inventory caused by information lag, and is also beneficial to prevent excess inventory, optimize the inventory structure, improve capital turnover, and reduce losses caused by inventory backlog or expiration.

[0018] 2. The present invention obtains the status information of various types of goods in the target warehouse, analyzes the inventory locations and sorting locations of various types of goods in the target warehouse, and executes them, which helps to understand the actual inventory situation in real time, discover and correct differences in time, and improve the accuracy of inventory data.

[0019] 3. The present invention obtains the inventory information of each inventory location of each type of goods in the target warehouse, analyzes the feedback and evaluation of each type of goods in the target warehouse, and helps to deal with expired, damaged and other status goods in a timely manner, which is beneficial to reducing economic losses caused by backlog and deterioration of goods, and is also beneficial to reducing customer complaints and returns caused by goods quality problems, thereby improving customer satisfaction and corporate benefits.

[0020] 4. The present invention obtains the cargo order information of the target warehouse, analyzes the cargo order waves of the target warehouse, and picks and sows them, which helps to reduce the overlap and duplication of picking paths, significantly improves picking efficiency, picking speed and accuracy, and is conducive to shortening order processing time, speeding up the warehousing and delivery speed of goods, and improving customer satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0022] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0023] Figure 2 It is a schematic diagram of the positioning of the target stored goods of the present invention.

[0024] Figure 3 It is a schematic diagram of the overall business reference of the target warehousing of the present invention.

[0025] Description of the drawings: 1. The storage area in the shelf where goods are stored in the target warehouse. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] See also Figure 1As shown, the present invention provides an integrated intelligent management system for warehousing and logistics based on LES, and the specific modules are distributed as follows: shelf replenishment module, inventory sorting module, picking and sowing module and information storage library. The shelf replenishment module includes a shelf replenishment plan analysis unit and a shelf replenishment execution unit, and the inventory sorting module includes an inventory sorting demand analysis unit and an inventory detection analysis unit.

[0028] Among them, the connection method between the modules is: the shelf replenishment module is connected to the inventory sorting module, the inventory sorting module is connected to the picking and sowing module, and the information storage library is connected to the shelf replenishment module.

[0029] The connection between the units is as follows: the shelf replenishment plan analysis unit is connected to the shelf replenishment execution unit, and the inventory sorting demand analysis unit is connected to the inventory detection analysis unit.

[0030] It should be further explained that the overall business reference diagram of the target warehouse is as follows: Figure 3 shown.

[0031] The shelf replenishment module is used to obtain the basic information of various types of goods in the target warehouse, analyze the shelf replenishment plan of various types of goods in the target warehouse, and execute it.

[0032] As a preferred feasibility example, the basic information of various types of goods in the target warehouse includes the maximum inventory, the minimum inventory, the current inventory, and the current inventory of each location.

[0033] It should be explained that the maximum inventory quantity of each type of goods in the target warehouse is the maximum inventory quantity allowed for each type of goods in the target warehouse in the automated area.

[0034] The minimum inventory quantity of each type of goods in the target warehouse is the minimum inventory quantity of each type of goods in the target warehouse in the automated area that does not affect the order.

[0035] Each location of each type of goods in the target warehouse is each storage area in each shelf storing each type of goods in the target warehouse, such as Figure 2 shown.

[0036] It needs to be further explained that the maximum inventory, minimum inventory, current inventory of each type of goods in the target warehouse and the current inventory of each location are obtained by directly extracting the maximum inventory, minimum inventory, current inventory of each type of goods in the target warehouse and the current inventory of each location from the management platform of the target warehouse.

[0037] The shelf replenishment module includes a shelf replenishment plan analysis unit and a shelf replenishment execution unit.

[0038] The shelf replenishment plan analysis unit is used to analyze the shelf replenishment plan of various types of goods in the target warehouse.

[0039] As a preferred feasibility example, the specific analysis method of the shelf plan of various types of goods in the target warehouse is: extract the shelf task volume of various types of goods in the target warehouse from the information storage library ,in , The serial numbers of various goods. For the number of categories of goods, extract the maximum inventory of each type of goods in the target warehouse and current inventory , calculate the demand for each type of goods in the target warehouse ,in The first The number of concentrated units of this type of goods.

[0040] It should be explained that the number of intensive units is specifically the total number of goods that can be accommodated for each type of goods in the target warehouse, which is recorded as the number of intensive units of each type of goods in the target warehouse.

[0041] The difference between the shelving task quantity of each type of goods in the target warehouse and the shelving demand quantity of each type of goods in the target warehouse is recorded as the excess quantity of each type of goods in the target warehouse.

[0042] The shelving demand and excess quantity of each type of goods in the target warehouse are further recorded as a shelving plan for each type of goods in the target warehouse.

[0043] As a preferred feasibility example, the specific analysis method of the replenishment plan of various types of goods in the target warehouse is: extract the maximum inventory of various types of goods in the target warehouse , minimum inventory and the current inventory level for each location ,in , is the number of each location, is the number of positioning.

[0044] Calculate the replenishment demand for each type of goods in the target warehouse ,in The current overflow quantity of various types of goods in the target warehouse extracted from the information storage library.

[0045] The replenishment demand for each type of goods in the target warehouse is further recorded as a replenishment plan for each type of goods in the target warehouse.

[0046] The shelving plan and replenishment plan for various types of goods in the target warehouse are collectively referred to as the shelving and replenishment plan for various types of goods in the target warehouse.

[0047] The shelf replenishment execution unit is used to execute the shelf replenishment of various types of goods in the target warehouse.

[0048] As a preferred feasibility example, the specific execution operations of the shelf replenishment of various types of goods in the target warehouse include: extracting the shelf demand and overflow quantity of various types of goods in the target warehouse in the shelf plan of various types of goods in the target warehouse, and further stocking the positioning areas and overflow areas of various types of goods in the target warehouse based on this.

[0049] It needs to be further explained that when loading goods in the positioning areas of the various types of goods in the target warehouse, the goods are loaded in sequence according to the remaining quantity of goods in each positioning area of ​​the various types of goods in the target warehouse.

[0050] Specifically, the shelving demand for a certain type of goods in the target warehouse is 50. There are four positioning areas for this type of goods in the target warehouse, and the free quantity of goods in the first positioning area of ​​this type of goods in the target warehouse is 10, the free quantity of goods in the second positioning area is 20, the free quantity of goods in the third positioning area is 20, and the free quantity of goods in the fourth positioning area is 5. Then, according to the shelving quantity of the first positioning area of ​​this type of goods in the target warehouse, 10, the free quantity of goods in the second positioning area is 20, the free quantity of goods in the third positioning area is 20, and the free quantity of goods in the fourth positioning area is 0, and then the goods are put on the shelves.

[0051] When loading goods in the overflow area of ​​each type of goods in the target warehouse, the goods are directly transported to the corresponding overflow area according to the overflow quantity of each type of goods in the target warehouse.

[0052] The replenishment demand of each type of goods in the target warehouse in the replenishment plan of each type of goods in the target warehouse is extracted, and the goods in the overflow area of ​​each type of goods in the target warehouse are further replenished to their positioning areas based on this.

[0053] It needs to be further explained that the specific operation of replenishing the goods in the overflow area of ​​the target warehouse to the positioning area is the same as the specific operation of loading the goods in the positioning area of ​​the target warehouse.

[0054] The present invention obtains basic information of various types of goods in the target warehouse, analyzes the shelf replenishment plan of various types of goods in the target warehouse, and executes it, which helps to reduce the problem of excess or shortage of inventory caused by information lag, and is also beneficial to prevent excess inventory, optimize the inventory structure, improve capital turnover, and reduce losses caused by inventory backlog or expiration.

[0055] The inventory and sorting module is used to obtain the status information of various types of goods in the target warehouse and analyze the inventory and sorting needs of various types of goods in the target warehouse.

[0056] As a preferred feasibility example, the status information of various types of goods in the target warehouse includes the vacancy, data variability and task execution of each location and the inventory of each location.

[0057] It should be explained that the vacancy of each location of each type of goods in the target warehouse refers to whether each location of each type of goods in the target warehouse can be found in the management platform of the target warehouse. If a certain location of a certain type of goods in the target warehouse cannot be found in the management platform of the target warehouse, the vacancy of the location of the target warehouse is recorded as existing, otherwise, the vacancy of the location of the target warehouse is recorded as non-existent.

[0058] The data variability of each location of each type of goods in the target warehouse is whether the quantity of goods at the current time point of each location of each type of goods in the target warehouse changes from the quantity of goods at the last inventory time point. If the quantity of goods at the current time point of a certain location of a certain type of goods in the target warehouse changes from the quantity of goods at the last inventory time point, the data variability of the location of the target warehouse for the type of goods is recorded as changed, otherwise, the data variability of the location of the target warehouse for the type of goods is recorded as no change.

[0059] The task execution of each location of each type of goods in the target warehouse is recorded as whether each location of each type of goods in the target warehouse is currently executing a task, wherein the task includes but is not limited to putting on shelves, replenishing, sorting and order picking, etc. If a certain location of a certain type of goods in the target warehouse is currently executing a task, the task execution of the location of the target warehouse is recorded as existing, otherwise, the task execution of the location of the target warehouse is recorded as not existing.

[0060] It needs to be further explained that the vacancy, data variability, task execution performance of each location of each type of goods in the target warehouse and the inventory quantity of each location are obtained in the following manner: the vacancy, data variability, task execution performance of each location of each type of goods in the target warehouse and the inventory quantity of each location are obtained directly from the management platform of the target warehouse.

[0061] The inventory and sorting module includes an inventory and sorting demand parsing unit and an inventory detection and analysis unit.

[0062] The inventory and sorting demand analysis unit is used to analyze and execute the inventory positions and sorting positions of various types of goods in the target warehouse.

[0063] As a preferred feasibility example, the specific method for obtaining the inventory locations and sorting locations of various types of goods in the target warehouse is: extracting the vacancy, data variability and task execution of each location of each type of goods in the target warehouse; if one of the vacancy, data variability and task execution of a certain location of a certain type of goods in the target warehouse exists, then the location of this type of goods in the target warehouse is recorded as the inventory location of this type of goods in the target warehouse, thereby obtaining the inventory locations of each type of goods in the target warehouse.

[0064] The inventory of each location of each type of goods in the target warehouse is extracted, and the locations of each type of goods in the target warehouse whose inventory is less than the number of intensive units are screened out and recorded as the sorting locations of each type of goods in the target warehouse.

[0065] It needs to be further explained that the specific operation of sorting out each sorting location of each type of goods in the target warehouse is: obtaining the inventory quantity of each sorting location of each type of goods in the target warehouse, extracting the number of intensive units of each type of goods in the target warehouse from the information storage library, subtracting the number of intensive units of each type of goods in the target warehouse from the inventory quantity of each sorting location of each type of goods in the target warehouse, and obtaining the free quantity of each sorting location of each type of goods in the target warehouse.

[0066] Further, the free quantities of each sorting location of each type of goods in the target warehouse are accumulated from small to large. If there are two or more sorting locations of a certain type of goods in the target warehouse whose accumulated free quantities are less than or equal to the intensive unit number of this type of goods, then this type of goods in the target warehouse generates a sorting task, that is, the sorting location with the largest free quantity of this type of goods in the target warehouse is used as the storage box, and the other sorting locations are used as the removal boxes.

[0067] The present invention obtains the status information of various types of goods in the target warehouse, analyzes the inventory locations and sorting locations of various types of goods in the target warehouse, and executes them, which helps to understand the actual inventory situation in real time, discover and correct differences in time, and improve the accuracy of inventory data.

[0068] The inventory detection and analysis unit is used to obtain inventory information of each inventory location of each type of goods in the target warehouse, and analyze the feedback evaluation of each type of goods in each inventory location of each type of goods in the target warehouse.

[0069] As a preferred feasibility example, the inventory information of each inventory location of each type of goods in the target warehouse includes goods accuracy information and goods quality information.

[0070] The cargo accuracy information includes the quantity accuracy of the cargo and the location accuracy of each cargo.

[0071] It needs to be further explained that the specific method of obtaining the quantity accuracy of the goods located at each inventory of each type of goods in the target warehouse and the location accuracy of each goods is: recording the quantity of the goods located at each inventory of each type of goods in the target warehouse and the location of each goods, and comparing the quantity of the goods located at each inventory of each type of goods in the target warehouse with the storage quantity of the goods located at each inventory of each type of goods in the target warehouse stored in the information storage library, and recording the quotient as the quantity accuracy of the goods located at each inventory of each type of goods in the target warehouse.

[0072] The positions of each item of each type of goods in the target warehouse located by each inventory are compared with the standard positions of each item of each type of goods in the target warehouse located by each inventory stored in the information storage library. If the position of a certain item of a certain type of goods in the target warehouse located by a certain inventory is consistent with its corresponding standard position, the position accuracy of the item of this type of goods in the target warehouse located by the inventory is recorded as 1; otherwise, the position accuracy of the item of this type of goods in the target warehouse located by the inventory is recorded as 0, thereby obtaining the position accuracy of each item of each type of goods in the target warehouse located by the inventory.

[0073] Goods quality information includes the date freshness, deformation and quality compliance of each good.

[0074] It should be further explained that the specific method for obtaining the date freshness of each product at each inventory location of each product in the target warehouse is as follows: during inventory, directly read the production date and shelf life on the label of each product at each inventory location of each product in the target warehouse, and subtract the production date on the label of each product at each inventory location of each product in the target warehouse from the current date to obtain the production days of each product at each inventory location of each product in the target warehouse. ,in , The number for locating each inventory point. The number of locations for inventory counting, , is the number of each product. is the quantity of goods, further according to the analysis formula Get the date freshness of each item in the target warehouse at each inventory location ,in The target warehouse Category of goods The first The shelf life of the goods.

[0075] A specific method for obtaining the degree of deformation of each of the goods located at each inventory of each type of goods in the target warehouse is as follows: use a deployed three-dimensional scanner to scan each of the goods located at each inventory of each type of goods in the target warehouse to obtain three-dimensional data of each of the goods located at each inventory of each type of goods in the target warehouse, use software to construct a three-dimensional visualization model of each of the goods located at each inventory of each type of goods in the target warehouse, further compare it with the standard three-dimensional visualization model of each of the goods located at each inventory of each type of goods in the target warehouse stored in the information storage library, obtain the volume overlap between the three-dimensional visualization model of each of the goods located at each inventory of each type of goods in the target warehouse and the standard three-dimensional visualization model, subtract 1 from it, and record the difference as the degree of deformation of each of the goods located at each inventory of each type of goods in the target warehouse.

[0076] It needs to be explained that if the deformation degree of a certain goods at a certain inventory location of a certain type of goods in the target warehouse is not 0, external force is further applied to it to restore it to its original state. If the goods at the inventory location of this type of goods in the target warehouse can be restored to the original state after being subjected to the external force, the deformation degree of the goods at the inventory location of this type of goods in the target warehouse is recorded as a reversible deformation degree. If the goods at the inventory location of this type of goods in the target warehouse cannot be restored to the original state after being subjected to the external force, the deformation degree of the goods at the inventory location of this type of goods in the target warehouse is recorded as an irreversible deformation degree and is eliminated.

[0077] Then re-record the quantity and location of each item of the same type of goods in the target warehouse.

[0078] The specific method for obtaining the quality qualification of each of the goods at each inventory location of each type of goods in the target warehouse is as follows: during the inventory process, the quality of each of the goods at each inventory location of each type of goods in the target warehouse is checked; if the quality of the goods at the inventory location of this type of goods in the target warehouse is qualified, the quality qualification of the goods at the inventory location of this type of goods in the target warehouse is recorded as 1; if the quality of the goods at the inventory location of this type of goods in the target warehouse is unqualified, the quality qualification of the goods at the inventory location of this type of goods in the target warehouse is recorded as 0, thereby obtaining the quality qualification of each of the goods at each inventory location of each type of goods in the target warehouse.

[0079] It needs to be further explained that the specific operation of conducting quality inspection on each of the goods at each inventory location of each type of goods in the target warehouse includes: using the prepared testing equipment to test the appearance, size, weight, temperature and humidity of each of the goods at each inventory location of each type of goods in the target warehouse; if the appearance, size, weight, temperature and humidity of a certain goods at a certain inventory location of a certain type of goods in the target warehouse are all qualified, then the quality of the goods at that inventory location of this type of goods in the target warehouse will be recorded as qualified; if one of the appearance, size, weight, temperature and humidity of a certain goods at a certain inventory location of a certain type of goods in the target warehouse is unqualified, then the quality of the goods at that inventory location of this type of goods in the target warehouse will be recorded as unqualified, and the reason for the unqualified will be fed back.

[0080] As a preferred feasibility example, in the process of analyzing the feedback evaluation of each item of each inventory of each item of each item of the target warehouse, it is necessary to construct the feedback evaluation coefficient of each item of each inventory of each item of the target warehouse. The specific analysis method is: extract the quantity accuracy of each item of each inventory of each item of the target warehouse and the location accuracy of each item, which are recorded as ,in , The number for locating each inventory point. The number of locations for inventory counting, , is the number of each product. For the quantity of goods, analyze the accuracy feedback evaluation index of each type of goods in the target warehouse for each inventory location ,in are the set quantity accuracy thresholds respectively.

[0081] Extract the date freshness, deformation and quality qualification of each type of goods in the target warehouse at each inventory location, and record them as , analyze the quality feedback evaluation index of each type of goods in the target warehouse at each inventory location ,in They are the set date freshness threshold and deformation threshold respectively.

[0082] According to the analytical formula Get the feedback evaluation coefficient of each type of goods in the target warehouse for each inventory location ,in They are weight factors of the feedback evaluation coefficients corresponding to the set cargo accuracy feedback evaluation index and cargo quality feedback evaluation index respectively.

[0083] It should be further explained that the weight factors of the feedback evaluation coefficients corresponding to the cargo accuracy feedback evaluation index and the cargo quality feedback evaluation index can be set to 0.3 and 0.7 respectively.

[0084] Goods quality is one of the core elements in supplier evaluation, which is directly related to product performance and customer satisfaction. High-quality products can reduce the return rate, improve customer satisfaction, and win a good market reputation for the company. Goods quality issues may have a long-term impact on the company's brand image, customer loyalty and market share. Therefore, the weight factor of the feedback evaluation coefficient corresponding to the goods quality feedback evaluation index is assigned to 0.7.

[0085] Cargo accuracy mainly focuses on the accuracy of cargo inventory sorting, but it is not the main factor. Therefore, the weight factor of the feedback evaluation coefficient corresponding to the cargo accuracy feedback evaluation index is assigned a value of 0.3.

[0086] As a preferred feasibility example, the specific analysis method of the feedback evaluation situation of each goods in each inventory location of each category of goods in the target warehouse is: the feedback evaluation coefficient of each goods in each inventory location of each category of goods in the target warehouse is compared with the set feedback evaluation coefficient threshold value respectively; if the feedback evaluation coefficient of a certain goods in a certain inventory location of a certain category of goods in the target warehouse is greater than the feedback evaluation coefficient threshold value, then the feedback evaluation situation of the goods in the inventory location of this category of goods in the target warehouse is recorded as qualified; otherwise, the feedback evaluation situation of the goods in the inventory location of this category of goods in the target warehouse is recorded as unqualified and processed, thereby obtaining the feedback evaluation situation of each goods in each inventory location of each category of goods in the target warehouse, and processing it.

[0087] The present invention obtains the inventory information of each inventory location of each type of goods in the target warehouse, analyzes the feedback and evaluation of each type of goods in the target warehouse, helps to deal with expired, damaged and other status goods in a timely manner, helps to reduce economic losses caused by backlog and deterioration of goods, and also helps to reduce customer complaints and returns caused by goods quality problems, thereby improving customer satisfaction and corporate benefits.

[0088] The picking and seeding module is used to obtain the cargo order information of the target warehouse, analyze the cargo order waves of the target warehouse, and pick and seed them.

[0089] As a preferred feasibility example, the cargo order information of the target warehouse includes the start time point and the end time point of each order and various types of required goods of each order.

[0090] It needs to be further explained that the method for obtaining the start time point and end time point of each order of the target warehouse and the various types of required goods for each order is: directly extract the start time point and end time point of each order of the target warehouse and the various types of required goods for each order from the management platform of the target warehouse.

[0091] As a preferred feasibility example, the specific method of obtaining the cargo order waves of the target warehouse is: extracting the end time points of each order of the target warehouse, classifying each order of the target warehouse according to the end time points, and obtaining each classified wave order of the target warehouse.

[0092] Extract various types of required goods of each order of the target warehouse, and classify the various types of wave orders of the target warehouse according to the various types of required goods and the set number of wave orders to obtain the goods order wave of the target warehouse.

[0093] As a preferred feasibility example, the specific operation of picking and sowing the target warehouse's cargo order waves is: pick the required goods according to the target warehouse's cargo order waves, and place them centrally on the sowing wall. The centrally picked goods will be further distributed to the corresponding orders. After the distribution is completed, each order will be individually packaged and ready for shipment.

[0094] The information storage library is used to store the shelving task volume of various types of goods in the target warehouse and the number of intensive units of various types of goods in the target warehouse.

[0095] The present invention obtains the cargo order information of the target warehouse, analyzes the cargo order waves of the target warehouse, and picks and sows them, which helps to reduce the overlap and duplication of picking paths, significantly improves the picking efficiency, picking speed and accuracy, and is conducive to shortening the order processing time, speeding up the outbound and delivery speed of goods, and improving customer satisfaction.

[0096] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An integrated intelligent management system for warehousing and logistics based on LES, characterized by: include: The shelf replenishment module is used to obtain the basic information of various goods in the target warehouse, analyze the shelf replenishment plan of various goods in the target warehouse, and execute it; The shelf replenishment module includes a shelf replenishment plan analysis unit and a shelf replenishment execution unit; The shelf replenishment plan analysis unit is used to analyze the shelf replenishment plan of various types of goods in the target warehouse; The shelf replenishment execution unit is used to execute the shelf replenishment of various types of goods in the target warehouse; The inventory and sorting module is used to obtain the status information of various types of goods in the target warehouse and analyze the inventory and sorting needs of various types of goods in the target warehouse; The inventory and sorting module includes an inventory and sorting demand parsing unit and an inventory detection and analysis unit; The inventory and sorting demand analysis unit is used to analyze and execute the inventory and sorting positions of various types of goods in the target warehouse; The inventory detection and analysis unit is used to obtain inventory information of each inventory location of each type of goods in the target warehouse, and analyze the feedback evaluation of each type of goods in each inventory location of each type of goods in the target warehouse; The picking and seeding module is used to obtain the cargo order information of the target warehouse, analyze the cargo order waves of the target warehouse, and pick and seed them; The information storage library is used to store the shelving task volume of various types of goods in the target warehouse and the number of concentrated units of various types of goods in the target warehouse; The specific analysis method of the shelf plan for various types of goods in the target warehouse is as follows: Extract the task volume of various types of goods in the target warehouse from the information storage library ,in , The serial numbers of various goods. The maximum inventory of each type of goods in the target warehouse is extracted for the number of goods categories. and current inventory , calculate the demand for each type of goods in the target warehouse ,in The first The number of concentrated units of the goods; The difference between the shelf-loading task quantity of each type of goods in the target warehouse and the shelf-loading demand quantity of each type of goods in the target warehouse is recorded as the overflow quantity of each type of goods in the target warehouse; Further, the shelf demand and the excess quantity of each type of goods in the target warehouse are recorded as the shelf plan of each type of goods in the target warehouse; In the process of analyzing the feedback evaluation of each item of each inventory location of each item of each item of the target warehouse, it is necessary to construct the feedback evaluation coefficient of each item of each inventory location of each item of the target warehouse. The specific analysis method is as follows: The quantity accuracy of each inventory of each type of goods in the target warehouse and the location accuracy of each goods are extracted and recorded as ,in , The number for locating each inventory point. The number of locations for inventory counting, , is the number of each product. For the quantity of goods, analyze the accuracy feedback evaluation index of each type of goods in the target warehouse for each inventory location ,in are the set quantity accuracy thresholds respectively; Extract the date freshness, deformation and quality qualification of each type of goods in the target warehouse at each inventory location, and record them as , analyze the quality feedback evaluation index of each type of goods in the target warehouse at each inventory location ,in They are the set date freshness threshold and deformation threshold respectively; According to the analytical formula Get the feedback evaluation coefficient of each type of goods in the target warehouse for each inventory location ,in They are weight factors of the feedback evaluation coefficients corresponding to the set goods accuracy feedback evaluation index and goods quality feedback evaluation index respectively; The specific analysis method of the feedback evaluation of each type of goods in the target warehouse at each inventory location is as follows: The feedback evaluation coefficient of each of the goods at each inventory location of each type of goods in the target warehouse is compared with the set feedback evaluation coefficient threshold value. If the feedback evaluation coefficient of a certain goods at a certain inventory location of a certain type of goods in the target warehouse is greater than the feedback evaluation coefficient threshold value, the feedback evaluation situation of the goods at the inventory location of the same type of goods in the target warehouse is recorded as qualified; otherwise, the feedback evaluation situation of the goods at the inventory location of the same type of goods in the target warehouse is recorded as unqualified and processed, thereby obtaining the feedback evaluation situation of each of the goods at each inventory location of each type of goods in the target warehouse and processing it.

2. According to claim 1, a warehouse logistics integrated intelligent management system based on LES is characterized by: The basic information of each type of goods in the target warehouse includes the maximum inventory, the minimum inventory, the current inventory, and the current inventory of each location; The status information of each type of goods stored in the target warehouse includes the vacancy, data variability and task execution of each location and the inventory of each location; The inventory information of each inventory location of each type of goods stored in the target warehouse includes goods accuracy information and goods quality information; The cargo accuracy information includes the quantity accuracy of the cargo and the location accuracy of each cargo; Goods quality information includes the date freshness, deformation and quality compliance of each good; The target warehouse's cargo order information includes the start time and end time of each order and various types of required cargo for each order.

3. According to the LES-based warehousing and logistics integrated intelligent management system of claim 1, it is characterized by: The specific analysis method of the replenishment plan for various types of goods in the target warehouse is as follows: Extract the maximum inventory of each type of goods in the target warehouse , minimum inventory and the current inventory level for each location ,in , is the number of each location, is the number of positioning; Calculate the replenishment demand for each type of goods in the target warehouse ,in The current overflow quantity of various types of goods in the target warehouse extracted from the information storage library; Further, the replenishment demand of each type of goods in the target warehouse is recorded as the replenishment plan of each type of goods in the target warehouse; The shelving plan and replenishment plan for various types of goods in the target warehouse are collectively referred to as the shelving and replenishment plan for various types of goods in the target warehouse.

4. According to claim 2, a LES-based integrated intelligent management system for warehousing and logistics, characterized in that: The specific operations for replenishing the various types of goods in the target warehouse include: Extract the shelf demand and excess quantity of various goods in the target warehouse from the shelf plan of various goods in the target warehouse, and further stock the goods in the positioning area and excess area of ​​various goods in the target warehouse accordingly; The replenishment demand of each type of goods in the target warehouse in the replenishment plan of each type of goods in the target warehouse is extracted, and the goods in the overflow area of ​​each type of goods in the target warehouse are further replenished to their positioning areas based on this.

5. According to claim 2, a LES-based integrated intelligent management system for warehousing and logistics, characterized in that: The specific method for obtaining the inventory location and sorting location of each type of goods in the target warehouse is: Extract the vacancy, data variability and task execution of each location of each type of goods in the target warehouse. If one of the vacancy, data variability and task execution of a certain location of a certain type of goods in the target warehouse exists, then the location of the goods of the target warehouse is recorded as the inventory location of the goods of the target warehouse, and then the inventory locations of each type of goods in the target warehouse are obtained; The inventory of each location of each type of goods in the target warehouse is extracted, and the locations of each type of goods in the target warehouse whose inventory is less than the number of intensive units are screened out and recorded as the sorting locations of each type of goods in the target warehouse.

6. According to claim 2, a warehouse logistics integrated intelligent management system based on LES is characterized by: The specific method of obtaining the cargo order wave of the target warehouse is as follows: Extract the end time points of each order of the target warehouse, classify each order of the target warehouse according to the end time points, and obtain each classified wave order of the target warehouse; Extract various types of required goods of each order of the target warehouse, and classify the various types of wave orders of the target warehouse according to the various types of required goods and the set number of wave orders to obtain the goods order wave of the target warehouse.

7. The LES-based integrated intelligent management system for warehousing and logistics according to claim 6 is characterized by: The specific operation of picking and seeding the target warehouse cargo order wave is: The required goods are picked according to the cargo order waves of the target warehouse and placed in a centralized manner on the seeding wall. The centralized picked goods will be further distributed to the corresponding orders. After the distribution is completed, each order will be individually packaged and prepared for shipment.

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