Warehouse management method and device for line-side warehouse, electronic equipment and storage medium
By optimizing the allocation of warehouse locations at the line-side warehouse using a multi-objective optimization model and a digital twin model, the problems of low space utilization and high cost under the static allocation method are solved, and more efficient material storage and retrieval management is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GREE ELECTRIC APPLIANCES (NANJING) CO LTD
- Filing Date
- 2026-03-13
- Publication Date
- 2026-06-23
AI Technical Summary
The existing method of allocating warehouse space on the production line is static, which results in poor space utilization and easily leads to idle spaces or situations where materials cannot be stored, increasing costs and reducing production efficiency.
A multi-objective optimization model is used to dynamically allocate storage locations. Based on the production and usage requirements of materials, the optimal storage location allocation result is generated. Combining optimization objectives such as material retrieval path, workload, and shelf center of gravity offset, the optimal retrieval plan is generated and optimized through simulation using a digital twin model.
It improves the flexibility and space utilization of warehouse location allocation, reduces idle locations, lowers costs, and increases production efficiency.
Smart Images
Figure CN122264692A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of intelligent manufacturing technology, and more specifically, to a warehouse management method, apparatus, electronic device, and storage medium for line-side warehouses. Background Technology
[0002] In the manufacturing production environment, line-side warehouses, as a key buffer between the production line and the warehouse, play a vital role in ensuring production continuity and material supply efficiency.
[0003] Currently, the existing storage location allocation method for line-side warehouses is mainly static, meaning that the storage locations for different materials are fixed. This can easily lead to poor space utilization in line-side warehouses. For example, line-side warehouses may have idle storage locations, or even if there are sufficient storage locations, the planned storage locations for a certain material may not be sufficient to meet the required quantity for a particular production stage, thus increasing the cost of line-side warehouses, potentially causing production stoppages, and reducing manufacturing efficiency. Summary of the Invention
[0004] The purpose of this application is to provide a storage management method, device, electronic equipment, and storage medium for a line-side warehouse, which can dynamically allocate storage locations in the line-side warehouse according to multiple preset optimization objectives. This can greatly improve the flexibility of storage location allocation in the line-side warehouse, effectively improve the space utilization rate of the line-side warehouse, thereby reducing the cost of the line-side warehouse and improving the efficiency of production and manufacturing.
[0005] To achieve the above objectives, firstly, this application provides a warehouse management method for a line-side warehouse, comprising: Obtain information on the production and usage requirements of the target material; Based on the production and usage requirements of the target material, a target lineside warehouse for storing the target material is determined; Obtain the material storage information of the target line-side warehouse; The material storage information and the production usage demand information are input into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse; The multi-objective optimization model is used to generate the optimal cargo location allocation result based on multiple preset optimization objectives.
[0006] In a preferred embodiment of this application, the production and usage demand information of the target material includes the material type, the required quantity of the material, the destination of the material, and the material collection time window; The step of determining the target line-side warehouse for storing the target material based on the production and usage demand information of the target material includes: Based on the material destination location of the target material, determine the target lineside warehouse for storing the target material.
[0007] In a preferred embodiment of this application, the multi-objective optimization model presets multiple optimization objectives, including the total path cost of material retrieval, workload variance, and shelf center of gravity offset. The objective function used in the multi-objective optimization model is as follows: Minimize Z = α1 * Total Path Cost + α2 * Workload Variance + α3 * Shelf Center of Gravity Offset Among them, α1, α2 and α3 are weighting coefficients.
[0008] In a preferred embodiment of this application, after inputting the material storage information and the production usage demand information into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse, the method further includes: Based on the location allocation results of the target material in the target line-side warehouse, an optimal material retrieval plan for the target material is generated. The optimal material retrieval plan for the target material includes the material retrieval path and the material retrieval sequence.
[0009] In a preferred embodiment of this application, after generating an optimal material retrieval plan for the target material based on the location allocation result of the target material in the target line-side warehouse, wherein the optimal material retrieval plan includes the material retrieval path and retrieval sequence of the target material, the method further includes: Based on the location allocation results and the optimal material handling scheme, a simulation is performed in a pre-constructed digital twin model; If path conflicts occur during simulation, the optimal material picking scheme will be optimized, and the material picking path and picking order of the target material will be updated. If there are no path conflicts during simulation, the location allocation results and the optimal picking scheme will be displayed on the display terminal of the corresponding picking station.
[0010] In a preferred embodiment of this application, after inputting the material storage information and the production usage demand information into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse, the method further includes: When picking up the target material, the identification information of the material to be picked up is obtained; Based on the identification information of the material to be picked up, identify whether the material to be picked up matches the target material; If it is detected that the material to be picked up does not match the target material, an alarm will be issued accordingly.
[0011] In a preferred embodiment of this application, the material storage information of the target line-side warehouse includes the current material storage information and the storage information of the materials to be stored in the target line-side warehouse; The step of inputting the material storage information and the production usage demand information into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse includes: Based on the storage information of the materials to be stored, obtain the production demand information of the materials to be stored; The storage information of the current material, the storage information of the material to be stored, the production usage information, and the production demand information are input into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse.
[0012] Secondly, this application provides a warehouse management device for a line-side warehouse, comprising: The demand acquisition module is used to acquire information on the production and usage requirements of the target material; The determination module is used to determine the target lineside warehouse for storing the target material based on the production and usage demand information of the target material. The storage information module is used to obtain the material storage information of the target line-side warehouse; The storage location allocation module is used to input the material storage information and the production usage demand information into a predetermined multi-objective optimization model to obtain the storage location allocation result of the target material in the target line-side warehouse; The multi-objective optimization model is used to generate the optimal cargo location allocation result based on multiple preset optimization objectives.
[0013] Thirdly, this application provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to perform the above-described warehouse management method for line-side warehouses.
[0014] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described warehouse management method for line-side warehouses.
[0015] This application discloses a storage management method, apparatus, electronic device, and storage medium for a line-side warehouse, which, compared with the prior art, has at least the following advantages: This application determines the target line-side warehouse for storing the target materials by acquiring the production and usage demand information of the target materials, and obtains the material storage information of the target line-side warehouse. Then, the material storage information and production and usage demand information are input into a predetermined multi-objective optimization model to obtain the storage location allocation result of the target materials in the target line-side warehouse. The multi-objective optimization model can generate the optimal storage location allocation result according to multiple preset optimization objectives. In this way, the storage location allocation of the line-side warehouse can be carried out intelligently and dynamically, which can greatly improve the flexibility of the storage location allocation of the line-side warehouse, make it more intelligent, effectively improve the space utilization rate of the line-side warehouse, reduce the idle storage location of the line-side warehouse, and effectively avoid the situation where there is sufficient storage space in the line-side warehouse, but the planned storage location of a certain material cannot meet the storage location corresponding to the quantity of the material required in a certain production stage, thereby reducing the cost of the line-side warehouse and improving the efficiency of production and manufacturing. Attached Figure Description
[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0017] Figure 1 This is a first flowchart illustrating the warehouse management method for a line-side warehouse provided in this application embodiment; Figure 2 This is a second flowchart illustrating the warehouse management method for line-side warehouses provided in this application embodiment; Figure 3 This is a flowchart illustrating step S140 provided in an embodiment of this application; Figure 4 This is a structural block diagram of the warehouse management device for a line-side warehouse provided in the embodiments of this application; Figure 5 This is a schematic diagram of the internal structure of the computer device provided in the embodiments of this application. Detailed Implementation
[0018] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.
[0019] Currently, the existing storage location allocation method for line-side warehouses is mainly static, meaning that the storage locations for different materials are fixed. This can easily lead to poor space utilization in line-side warehouses. For example, line-side warehouses may have idle storage locations, or even if there are sufficient storage locations, the planned storage locations for a certain material may not be sufficient to meet the required quantity for a particular production stage, thus increasing the cost of line-side warehouses, potentially causing production stoppages, and reducing manufacturing efficiency.
[0020] To address the problems in the prior art, this application provides a storage management method, apparatus, electronic device, and storage medium for line-side warehouses. This allows for dynamic allocation of storage locations in the line-side warehouse based on multiple preset optimization objectives. This significantly improves the flexibility of storage location allocation, effectively increases the space utilization rate of the line-side warehouse, thereby reducing its cost and improving manufacturing efficiency.
[0021] Example 1 See Figure 1 , Figure 1 This is a first flowchart illustrating the warehouse management method for a line-side warehouse provided in this application embodiment.
[0022] The warehouse management method for line-side warehouses described in this application embodiment can be applied to computer equipment such as servers.
[0023] This application provides a warehouse management method for a line-side warehouse, including the following steps: Step S110: Obtain the production and usage requirements information for the target material.
[0024] In this embodiment, the production of air conditioning equipment is used as an example to introduce and explain the warehousing management method of the line-side warehouse of this application embodiment.
[0025] In one embodiment, the target material is the material required for production. For example, the target material may be at least one of the structural components such as compressors, evaporators, and fans required for the production of air conditioning equipment. The production and usage requirements information for the target material may include information such as material type, required quantity, and destination location. The destination location can be understood as the production line that uses the material or the storage location of the material.
[0026] For example, the production and usage requirements information of the target material can be entered by staff based on the materials required or lacking in the air conditioning equipment being produced.
[0027] Step S120: Based on the production and usage requirements of the target material, determine the target lineside warehouse for storing the target material.
[0028] In one embodiment, the production line using the target material's production and usage demand information can be used to identify the production line using the material or the storage location of the material. Then, based on the production line of the material, a target line-side warehouse adjacent to the production line of the material can be determined, or a matching target line-side warehouse can be determined based on the storage location of the material.
[0029] Step S130: Obtain the material storage information of the target line-side warehouse.
[0030] In one embodiment, the material storage information of the target line-side warehouse can be understood as the material storage status of the target line-side warehouse. For example, the material storage information of the target line-side warehouse may include information such as whether each storage location of the target line-side warehouse contains materials and the specifications of each storage location of the target line-side warehouse. Preferably, when obtaining the material storage information of the target line-side warehouse, the warehouse location layout diagram and material storage record list of the target line-side warehouse can be obtained, and the material storage information of the target line-side warehouse can be obtained based on the warehouse location layout diagram and material storage record list of the target line-side warehouse.
[0031] Step S140: Input the material storage information and production usage demand information into the predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse.
[0032] The multi-objective optimization model is used to generate the optimal storage location allocation result based on multiple preset optimization objectives. For example, the multiple preset optimization objectives can be at least two of the following: total path cost, shelf center of gravity offset, urgency coefficient, etc. For example, the location allocation result of the target material in the target line-side warehouse can be displayed through the location layout diagram of the target line-side warehouse, showing the locations used to store the target material.
[0033] Preferably, after inputting the material storage information and production usage demand information into a predetermined multi-objective optimization model in step S140 to obtain the location allocation result of the target material in the target line-side warehouse, the warehouse management method of the line-side warehouse in this embodiment of the application may further include the following steps: Based on the location allocation results of the target material in the target line-side warehouse, generate the material storage list corresponding to the target material; Update the material storage record list based on the material storage list corresponding to the target material.
[0034] The line-side warehouse storage management method of this application embodiment determines the target line-side warehouse for storing the target material by acquiring the production and usage demand information of the target material, and obtains the material storage information of the target line-side warehouse; then, the material storage information and production and usage demand information are input into a predetermined multi-objective optimization model to obtain the storage location allocation result of the target material in the target line-side warehouse. The multi-objective optimization model can generate the optimal storage location allocation result according to multiple preset optimization objectives. In this way, the storage location allocation of the line-side warehouse can be intelligently and dynamically performed. For example, the storage location allocation of the line-side warehouse can be dynamically adjusted according to the production cycle, material priority and production line demand, thereby greatly improving the flexibility of the storage location allocation of the line-side warehouse, making it more intelligent, effectively improving the space utilization rate of the line-side warehouse, reducing the idle storage locations of the line-side warehouse, and effectively avoiding the situation where there are sufficient storage locations in the line-side warehouse, but the planned storage locations for a certain material cannot meet the storage location corresponding to the quantity of the material required in a certain production stage, thereby reducing the cost of the line-side warehouse and improving the efficiency of production and manufacturing.
[0035] In one embodiment, the production and usage demand information of the target material includes the material type, the quantity of material required, the destination of the material, and the material collection time window. When determining the target lineside warehouse for storing the target material based on the production and usage demand information of the target material, the following may be included: Based on the destination location of the target material, determine the target lineside warehouse for storing the target material.
[0036] The material picking time window may include the total time required to pick up the target material, or at least one of the following: the picking time point of the target material and the unit time required to pick up a single material.
[0037] The above methods can provide more input information for the multi-objective optimization model, which is more conducive to the calculation of the multi-objective optimization model, and can also facilitate the determination of the target lineside warehouse for storing the target material.
[0038] In one embodiment, the multi-objective optimization model pre-sets multiple optimization objectives including the total path cost of material retrieval, workload variance, and shelf center of gravity offset; The objective function used in the multi-objective optimization model is as follows: Minimize Z = α1 * Total Path Cost + α2 * Workload Variance + α3 * Shelf Center of Gravity Offset Among them, α1, α2 and α3 are weighting coefficients.
[0039] Specifically, the total path cost of material retrieval refers to the total time or distance that an operator or automated equipment (such as an AGV) needs to travel to complete all retrieval of the target material. When calculating the total path cost of material retrieval, the required travel time or distance for a single material can be calculated first, and then the required travel time or distance for each material can be summed to obtain the total path cost of material retrieval. The workload variance of material retrieval refers to the total amount of work assigned to each operator or each AGV. In terms of specific quantification, it can be the total time required to complete the task, the total weight or volume of the materials to be handled, or the number of retrieval and placement actions to be performed. The rack center of gravity offset can be obtained by obtaining the three-dimensional coordinates (X, Y, Z) of each storage location through the storage location layout diagram of the target line-side warehouse, and then, based on the weight of each storage location and mechanical calculations, the resultant force center of gravity position of the target line-side warehouse can be obtained. Then, the rack center of gravity offset can be calculated based on the resultant force center of gravity position and the original center of gravity position.
[0040] For example, α1 can be 0.5, α2 can be 0.3, and α3 can be 0.2, that is, Minimize Z = 0.5 * total path cost + 0.3 * workload variance + 0.2 * shelf center of gravity offset.
[0041] By using the above-mentioned multiple optimization objectives, the material picking path, material picking load, and material storage safety can be fully considered when allocating storage locations, resulting in better storage location allocation. Furthermore, the above objective functions facilitate the calculation of multi-objective optimization models and improve their computational efficiency.
[0042] See Figure 2 In one embodiment, after inputting material storage information and production usage demand information into a predetermined multi-objective optimization model in step S140 to obtain the location allocation result of the target material in the target line-side warehouse, the warehouse management method of the line-side warehouse of this application embodiment may further include the following steps: Step S150: Based on the location allocation results of the target material in the target line-side warehouse, generate the optimal material picking plan for the target material. The optimal material picking plan for the target material includes the material picking path and picking sequence.
[0043] For example, when generating the optimal material retrieval plan for the target material based on the location allocation result of the target material in the target line-side warehouse, the shortest material retrieval time or the shortest material retrieval distance can be used as the target, and the optimal material retrieval plan for the target material can be generated based on the location allocation result of the target material in the target line-side warehouse. The material picking path and picking sequence of the target material can include the material picking path and picking sequence of each material.
[0044] In the above method, by generating the material picking path and picking sequence of the target material, it is convenient for operators or AGV equipment to pick up the target material. During the picking process, operators or AGV equipment can pick up the material one by one based on the material picking path and picking sequence of the target material, thereby improving the picking efficiency.
[0045] In one embodiment, after generating an optimal material retrieval plan for the target material based on the location allocation results of the target material in the target line-side warehouse, wherein the optimal material retrieval plan includes the material retrieval path and retrieval sequence, the method further includes: Based on the location allocation results and the optimal material handling plan, simulations are performed in a pre-built digital twin model. If path conflicts occur during simulation, the optimal material picking scheme will be optimized, and the picking path and picking order of the target material will be updated. If there are no path conflicts during simulation, the location allocation results and the optimal picking plan will be displayed on the display terminal of the corresponding picking station.
[0046] Understandably, in actual production, there may be multiple different materials being picked up simultaneously. By using a pre-built digital twin model, the simultaneous picking up of multiple different materials in actual production can be simulated to determine whether there will be conflicts between the picking path and the picking path of other materials during the picking operation. This avoids collisions between AGVs performing different picking operations. If a path conflict is found, the optimal picking scheme can be optimized by adjusting and updating the picking path and picking order of the target material to avoid path conflicts. Specifically, the corresponding picking station refers to the station where the target material is picked. The display terminal of the picking station can be a display screen set up at the picking station. The location allocation results and the optimal picking plan are displayed through the display terminal of the picking station, which makes it convenient for the operator to check the picking process of the target material, thereby facilitating the operator's picking operation.
[0047] In one embodiment, after inputting material storage information and production usage demand information into a predetermined multi-objective optimization model in step S140 to obtain the location allocation result of the target material in the target line-side warehouse, the warehouse management method of the line-side warehouse of this application embodiment may further include the following steps: When picking up target materials, obtain the identification information of the materials to be picked up; Based on the identification information of the material to be picked up, identify whether the material to be picked up matches the target material; If the material to be picked up is found to be mismatched with the target material, an alarm will be issued accordingly.
[0048] Specifically, the identification information of the material to be picked up can be the identification code of the material to be picked up, for example, it can be the QR code of the material to be picked up. For example, when carrying out the picking operation, the identification information of the material to be picked up can be obtained by scanning the device. For example, when it is detected that the material to be picked up does not match the target material, the corresponding alarm prompt can be issued by issuing an alarm prompt sound and / or lighting up an alarm prompt light. Preferably, the alarm prompt light or the voice device that issues the alarm prompt sound can be installed on the target line side warehouse.
[0049] By using the above methods, the materials picked up by the operator can be checked during the material picking operation, which can effectively prevent the operator from picking up the wrong materials or the materials from being mismatched due to incorrect storage. In this way, the air conditioner assembly error can be avoided during actual production.
[0050] See Figure 3 In one embodiment, the material storage information of the target line-side warehouse includes the current material storage information and the storage information of the material to be stored in the target line-side warehouse; Step S140: Input the material storage information and production usage demand information into the predetermined multi-objective optimization model to obtain the location allocation results of the target material in the target line-side warehouse, including: Step S141: Obtain the production demand information of the materials to be stored based on the storage information of the materials to be stored; Step S142: Input the current material storage information, the storage information of the material to be stored, the production usage information, and the production demand information into the predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse.
[0051] Specifically, in actual production, there may be materials in the target line-side warehouse that have been planned for storage but have not yet been stored. This situation could involve storing different materials required by the same production line or storing different materials required by different production lines. Therefore, when obtaining the material storage information of the target line-side warehouse, it is necessary to obtain the current material storage information and the storage information of the materials to be stored. In this way, when the multi-objective optimization model allocates storage locations for target materials, it can avoid this situation and prevent the target materials from being unable to be stored later. It can also fully combine the needs of different production lines to better allocate storage locations in the target line-side warehouse.
[0052] Preferably, when inputting the current material storage information, the storage information of the material to be stored, the production usage information, and the production demand information into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse, the location allocation of the target line-side warehouse can also be combined with the location storage rules of the target line-side warehouse. The location storage rules of the target line-side warehouse can indicate the materials that can be stored in different locations of the target line-side warehouse and / or the specifications and weight of the materials that can be stored. This allows for more effective, accurate, reasonable, and safe location allocation of the target line-side warehouse.
[0053] Example 2 In order to implement the methods corresponding to the above embodiments and achieve the corresponding functions and technical effects, a warehouse management device for a line-side warehouse is provided below.
[0054] See Figure 4 , Figure 4 This is a structural block diagram of the warehouse management device for a line-side warehouse provided in the embodiments of this application.
[0055] The warehouse management device for line-side warehouses provided in this application embodiment includes: The demand acquisition module 410 is used to acquire production and usage demand information for the target material. The determination module 420 is used to determine the target lineside warehouse for storing the target material based on the production and usage requirements of the target material. The storage information module 430 is used to obtain the material storage information of the target line-side warehouse; The storage location allocation module 440 is used to input material storage information and production usage demand information into a predetermined multi-objective optimization model to obtain the storage location allocation result of the target material in the target line-side warehouse. Among them, the multi-objective optimization model is used to generate the optimal cargo location allocation result based on multiple preset optimization objectives.
[0056] The storage management device for the line-side warehouse in this embodiment of the application determines the target line-side warehouse for storing the target material by acquiring the production and usage demand information of the target material, and obtains the material storage information of the target line-side warehouse; then, the material storage information and production and usage demand information are input into a predetermined multi-objective optimization model to obtain the storage location allocation result of the target material in the target line-side warehouse. The multi-objective optimization model can generate the optimal storage location allocation result according to multiple preset optimization objectives. In this way, the storage location allocation of the line-side warehouse can be carried out intelligently and dynamically, which can greatly improve the flexibility of the storage location allocation of the line-side warehouse, make it more intelligent, effectively improve the space utilization rate of the line-side warehouse, reduce the idle storage location of the line-side warehouse, and effectively avoid the situation that the storage location of the line-side warehouse is sufficient but cannot be stored because the planned storage location of the line-side warehouse for a certain material does not meet the storage location corresponding to the quantity of the material required in a certain production stage, thereby reducing the cost of the line-side warehouse and improving the efficiency of production and manufacturing.
[0057] As an optional implementation method, the production and usage demand information of the target material includes the material type, the quantity of material required, the destination of the material, and the material collection time window; When determining the target lineside warehouse for storing the target material based on the production and usage requirements of the target material, module 420 can: Based on the destination location of the target material, determine the target lineside warehouse for storing the target material.
[0058] As an optional implementation, the multi-objective optimization model presets multiple optimization objectives, including the total path cost of material retrieval, workload variance, and shelf center of gravity offset. The objective function used in the multi-objective optimization model is as follows: Minimize Z = α1 * Total Path Cost + α2 * Workload Variance + α3 * Shelf Center of Gravity Offset Among them, α1, α2 and α3 are weighting coefficients.
[0059] As an optional implementation, the warehouse management device for the line-side warehouse in this application embodiment may further include a material picking plan generation module, used for: Based on the location allocation of the target material in the target line-side warehouse, the optimal material retrieval plan for the target material is generated. The optimal material retrieval plan for the target material includes the material retrieval path and the material retrieval sequence.
[0060] As an optional implementation, the warehouse management device for the line-side warehouse in this application embodiment may further include a simulation module and a display module. The simulation module is used to perform simulations in a pre-built digital twin model based on the location allocation results and the optimal material handling plan; The material picking scheme generation module is also used to optimize the optimal material picking scheme and update the picking path and picking order of the target material if there is a path conflict during simulation. The display module is used to show the location allocation results and the optimal picking scheme on the display terminal of the corresponding picking station when there is no path conflict during the simulation.
[0061] As an optional implementation, the warehouse management device for the line-side warehouse in this application embodiment may further include an identification acquisition module, a material identification module, and an alarm notification module. The identification acquisition module is used to acquire the identification information of the material to be picked up when picking up the target material; The material identification module is used to identify whether the material to be picked up matches the target material based on the identification information of the material to be picked up. The alarm notification module is used to issue an alarm notification when it is detected that the material to be picked up does not match the target material.
[0062] As an optional implementation, the material storage information of the target line-side warehouse includes the current material storage information and the storage information of the materials to be stored in the target line-side warehouse; The storage location allocation module 440 can be specifically used for: Based on the storage information of the materials to be stored, obtain the production demand information of the materials to be stored; The current material storage information, the storage information of materials to be stored, the production usage information, and the production demand information are input into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse.
[0063] The aforementioned warehouse management device for line-side warehouses can implement the warehouse management method for line-side warehouses described above. Specific limitations and other details of the embodiments of the aforementioned warehouse management device for line-side warehouses can be found in the content of the warehouse management method for line-side warehouses described above, and will not be repeated in the embodiments.
[0064] Example 3 This application also provides an electronic device, including a memory and a processor. The memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to perform the above-described warehouse management method for line-side warehouses.
[0065] Optionally, the aforementioned electronic device may be a computer device such as a server.
[0066] In one embodiment, the internal structure of the computer device of this application can be as follows: Figure 5 As shown.
[0067] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described warehouse management method for line-side warehouses.
[0068] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.
[0069] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.
[0070] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0071] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.
[0072] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
[0073] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Similarly, in the description of this application, the terms "first," "second," etc., are used only for descriptive distinction and should not be construed as indicating or implying relative importance. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
Claims
1. A warehouse management method for a line-side warehouse, characterized in that, include: Obtain information on the production and usage requirements of the target material; Based on the production and usage requirements of the target material, a target lineside warehouse for storing the target material is determined; Obtain the material storage information of the target line-side warehouse; The material storage information and the production usage demand information are input into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse; The multi-objective optimization model is used to generate the optimal cargo location allocation result based on multiple preset optimization objectives.
2. The warehousing management method for line-side warehouses according to claim 1, characterized in that, The production and usage demand information of the target material includes the material type, the required quantity of the material, the destination of the material, and the material collection time window. The step of determining the target line-side warehouse for storing the target material based on the production and usage demand information of the target material includes: Based on the material destination location of the target material, determine the target lineside warehouse for storing the target material.
3. The warehousing management method for line-side warehouses according to claim 1, characterized in that, The multi-objective optimization model presets multiple optimization objectives, including the total path cost of material retrieval, workload variance, and shelf center of gravity offset. The objective function used in the multi-objective optimization model is as follows: Minimize Z = α1 * Total Path Cost + α2 * Workload Variance + α3 * Shelf Center of Gravity Offset Among them, α1, α2 and α3 are weighting coefficients.
4. The warehousing management method for a line-side warehouse according to claim 1, characterized in that, After inputting the material storage information and the production usage demand information into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse, the method further includes: Based on the location allocation results of the target material in the target line-side warehouse, an optimal material retrieval plan for the target material is generated. The optimal material retrieval plan for the target material includes the material retrieval path and the material retrieval sequence.
5. The warehousing management method for a line-side warehouse according to claim 4, characterized in that, After generating an optimal material retrieval plan for the target material based on the location allocation results of the target material in the target line-side warehouse, wherein the optimal material retrieval plan includes the material retrieval path and retrieval sequence, the method further includes: Based on the location allocation results and the optimal material handling scheme, a simulation is performed in a pre-constructed digital twin model; If path conflicts occur during simulation, the optimal material picking scheme will be optimized, and the material picking path and picking order of the target material will be updated. If there are no path conflicts during simulation, the location allocation results and the optimal picking scheme will be displayed on the display terminal of the corresponding picking station.
6. The warehousing management method for a line-side warehouse according to any one of claims 1-5, characterized in that, After inputting the material storage information and the production usage demand information into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse, the method further includes: When picking up the target material, the identification information of the material to be picked up is obtained; Based on the identification information of the material to be picked up, identify whether the material to be picked up matches the target material; If it is detected that the material to be picked up does not match the target material, an alarm will be issued accordingly.
7. The warehousing management method for a line-side warehouse according to claim 1, characterized in that, The material storage information of the target line side warehouse includes the current material storage information and the storage information of materials to be stored in the target line side warehouse; The step of inputting the material storage information and the production usage demand information into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse includes: Based on the storage information of the materials to be stored, obtain the production demand information of the materials to be stored; The storage information of the current material, the storage information of the material to be stored, the production usage information, and the production demand information are input into a predetermined multi-objective optimization model to obtain the location allocation result of the target material in the target line-side warehouse.
8. A storage management device for a line-side warehouse, characterized in that, include: The demand acquisition module is used to acquire information on the production and usage requirements of the target material; The determination module is used to determine the target lineside warehouse for storing the target material based on the production and usage demand information of the target material. The storage information module is used to obtain the material storage information of the target line-side warehouse; The storage location allocation module is used to input the material storage information and the production usage demand information into a predetermined multi-objective optimization model to obtain the storage location allocation result of the target material in the target line-side warehouse; The multi-objective optimization model is used to generate the optimal cargo location allocation result based on multiple preset optimization objectives.
9. An electronic device, characterized in that, The device includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform the warehouse management method for a line-side warehouse according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the warehouse management method for the line-side warehouse as described in any one of claims 1 to 7.