Warehouse logistics management method and device and medium

Abstract

The invention discloses a warehouse logistics management method and device and a medium, and the method comprises the steps: dividing a logistics task corresponding to a warehouse logistics vehicle into a main logistics task and a sub-logistics task according to an operation region where the warehouse logistics vehicle passes in a warehouse; determining an operation path corresponding to the main logistics task and a plurality of sub-operation paths included in the operation path; according to the work amount and the path length corresponding to the sub-work path, screening out a specified work area with global layout defects from the work area; optimizing the global layout relationship corresponding to the specified operation area, and based on the optimized global layout relationship, obtaining a warehouse logistics type corresponding to each shipping space in the storage operation area; according to the type of the stored goods and the logistics quantity corresponding to the type of the stored goods, optimizing the local layout relationship between the shipping spaces corresponding to the sub-logistics tasks; and obtaining a target operation path corresponding to the warehouse logistics vehicle according to the optimized global layout relationship and local layout relationship.

Description

Technical Field

[0001] The present application relates to the field of logistics technology, and in particular to a warehouse logistics management method, equipment and medium. Background Art

[0002] As an important node in the supply chain, logistics warehouses have functions such as cargo storage, sorting, and distribution. With the continuous maturity and application of digital and intelligent technologies, optimizing warehouse logistics management is of great significance to improving logistics efficiency and reducing logistics costs.

[0003] In the existing warehouse logistics management methods, since the division of work areas within the warehouse is often based on traditional experience and lacks scientific basis, when warehouse logistics vehicles pass through different work areas, there will be problems such as long work paths and uneven work volume, which increases logistics costs and time and reduces warehouse logistics efficiency. Summary of the invention

[0004] In order to solve the above problems, this application proposes a warehouse logistics management method, including:

[0005] According to the operation area that the storage logistics vehicle passes through in the warehouse, the logistics tasks corresponding to the storage logistics vehicle are divided into main logistics tasks and sub-logistics tasks; wherein the main logistics tasks represent logistics tasks between different types of operation areas, and the sub-logistics tasks represent logistics tasks between storage locations within the storage operation area;

[0006] Acquire historical order data corresponding to the warehouse, and determine the operation path corresponding to the main logistics task and multiple sub-operation paths included in the operation path according to the historical order data; wherein the sub-operation path is composed of any two adjacent operation areas in the operation path;

[0007] According to the operation volume and path length corresponding to the sub-operation path, a designated operation area with global layout defects is screened out from the operation area, and the global layout relationship corresponding to the designated operation area is optimized;

[0008] Based on the optimized global layout relationship, obtaining the storage cargo type corresponding to each storage location in the storage operation area;

[0009] According to the warehouse goods type and the logistics volume corresponding to the warehouse goods type, optimizing the local layout relationship between the warehouse locations corresponding to the sub-logistics task;

[0010] According to the optimized global layout relationship and the local layout relationship, the target operation path corresponding to the warehouse logistics vehicle is obtained.

[0011] In one implementation of the present application, according to the operation volume and path length corresponding to the sub-operation path, a designated operation area with global layout defects is screened out from the operation area, specifically including:

[0012] For each sub-operation path, the path length and the amount of work corresponding to the sub-operation path are used as the horizontal coordinate and the vertical coordinate respectively to construct a work distribution map corresponding to the sub-operation path; wherein the sub-operation distribution map includes a plurality of discrete points, each of which corresponds to a sub-operation path;

[0013] According to the distribution positions of the discrete points in the operation distribution map, a designated operation area having global layout defects is screened out from the operation area.

[0014] In one implementation of the present application, according to the distribution positions of the discrete points in the operation distribution map, the designated operation area with global layout defects is screened out from the operation area, specifically including:

[0015] Determine the central area of ​​the area formed by each discrete point in the operation distribution map; wherein the radius of the central area is negatively correlated with the logistics turnover rate of the warehouse;

[0016] The distribution position of each discrete point in the job distribution map is determined, and based on the distribution position, the job area contained in the sub-job path corresponding to the discrete point in the job distribution map that is not in the central area is used as the designated job area where the global layout defect exists in the job area.

[0017] In one implementation of the present application, the global layout relationship corresponding to the designated operation area is optimized, specifically including:

[0018] Determine the occurrence frequency of each sub-operation path in the historical order data, and assign a corresponding first relevance to the sub-operation path according to a frequency interval in which the occurrence frequency is located and a mapping relationship between the frequency interval and a preset relevance;

[0019] Performing correlation analysis on the job attributes between the sub-job paths to determine a second correlation degree between the job attributes in the sub-job paths;

[0020] The comprehensive correlation between the sub-operation paths is determined according to the first correlation and the second correlation, and the global layout relationship corresponding to the designated operation area is optimized according to the comprehensive correlation.

[0021] In one implementation of the present application, the global layout relationship corresponding to the designated operation area is optimized according to the comprehensive correlation, specifically including:

[0022] Determine the global layout defect type corresponding to the designated operation area group according to the distribution position; wherein the global layout defect type includes a heavy load defect and a light load defect;

[0023] According to the comprehensive correlation, determine a first target operating area that has a strong correlation with the designated operating area, and determine whether there is an overlapping second target operating area in the first target operating area corresponding to each designated operating area;

[0024] If so, optimizing the global layout relationship corresponding to the designated operation area based on the global layout defect type and the relative position relationship between the designated operation area and the second target operation area;

[0025] If not, the global layout relationship corresponding to the designated operation area is optimized based on the global layout defect type and the relative position relationship between the designated operation area and the first target operation area.

[0026] In one implementation of the present application, according to the type of stored goods and the logistics volume corresponding to the type of stored goods, the local layout relationship between the warehouse locations corresponding to the sub-logistics task is optimized, specifically including:

[0027] Determine a designated operation path corresponding to the type of stored goods, and determine a next operation area corresponding to the type of stored goods according to the designated operation path;

[0028] In the case where the next operation areas corresponding to multiple types of stored goods are the same, determining the logistics priority corresponding to the types of stored goods according to the types of stored goods and the logistics volumes corresponding to the types of stored goods;

[0029] According to the logistics priority, the relative distance between the warehouse location where the storage cargo type is located and the next operation area is determined, so as to determine the local layout relationship between the warehouse locations corresponding to the sub-logistics task based on the relative distance; wherein the relative distance is negatively correlated with the logistics priority.

[0030] In one implementation of the present application, determining the local layout relationship between the warehouses corresponding to the sub-logistics tasks according to the relative distances specifically includes:

[0031] Analyzing the outbound orders corresponding to the types of stored goods according to the historical order data to determine whether there is an intersection relationship between the types of stored goods;

[0032] If so, for the storage cargo types with the cross relationship, a corresponding storage cargo set is generated, and the storage cargo sets are cross-laid out according to the relative distances corresponding to the storage cargo sets, so as to realize the cross-delivery of the storage cargo sets through the obtained local layout relationship.

[0033] In one implementation of the present application, the warehoused goods collection is cross-arranged according to the relative distance, specifically including:

[0034] Determine the distance difference between the relative distances corresponding to the warehouse cargo sets respectively;

[0035] When the distance difference is not greater than a preset difference, the warehouse cargo collection is arranged in an adjacent warehouse position to realize a cross layout of the warehouse cargo collection;

[0036] When the distance difference is greater than the preset difference, the storage level corresponding to the storage cargo type is determined according to the storage cargo type included in the storage cargo set, so as to realize the cross layout of the storage cargo set according to different storage levels.

[0037] The present application provides a warehouse logistics management device, the device comprising:

[0038] at least one processor;

[0039] and, a memory communicatively coupled to the at least one processor;

[0040] Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a warehouse logistics management method as described in any one of the above items.

[0041] The embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:

[0042] A warehouse logistics management method as described in any of the above items.

[0043] The warehouse logistics management method proposed in this application can bring the following beneficial effects:

[0044] Dividing logistics tasks into main logistics tasks and sub-logistics tasks helps to analyze the operation path and workload more accurately, thereby identifying global layout defects and optimizing the global layout relationship, effectively shortening the overall operation path of the storage logistics vehicle between various operation areas, reducing logistics costs and time. At the same time, optimizing the local layout relationship within the storage operation area also improves the logistics efficiency between warehouses. Comprehensively considering the global and local layout relationships ensures that the operation areas passed by the storage logistics vehicle are more reasonable and the workload is more balanced, which can significantly improve the warehouse logistics efficiency and reduce operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0046] Figure 1 A flowchart of a warehouse logistics management method provided in an embodiment of the present application;

[0047] Figure 2 A schematic diagram of the structure of a warehouse logistics management device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0049] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0050] like Figure 1 As shown, a warehouse logistics management method provided by an embodiment of the present application includes:

[0051] S101: Divide the logistics tasks corresponding to the storage logistics vehicles into main logistics tasks and sub-logistics tasks according to the operation areas passed by the storage logistics vehicles in the warehouse; wherein the main logistics tasks represent the logistics tasks between different types of operation areas, and the sub-logistics tasks represent the logistics tasks between storage locations within the storage operation area.

[0052] The warehouse is equipped with multiple operation areas, each of which is used to perform different types of logistics operations. Based on the type of logistics operations performed by the storage and logistics vehicles, the operation areas in the warehouse are divided into outbound areas, inbound areas, sorting areas, packaging areas, inspection areas, storage areas, etc., which are used to realize the functions of outbound, inbound, sorting, packaging, inspection, and cargo storage. Due to the large storage volume of goods inside the warehouse, multiple types of goods are usually stored, and the operation processes of different types of goods will be different. For example, the operation process of goods A is warehousing, inspection, storage, and outbound, the operation process of goods B is warehousing, sorting, and outbound, and the operation process of goods C is warehousing, inspection, storage, sorting, and outbound. The above operation process refers to the logistics tasks performed by the storage and logistics vehicles between the various operation areas. For goods that need to be stored, the corresponding operation process also includes logistics distribution between the various warehouses in the storage operation area (storage area), that is, storing and retrieving the corresponding goods.

[0053] Therefore, based on the operation area of ​​the warehouse logistics vehicle in the warehouse, the physical tasks corresponding to the warehouse logistics vehicle can be divided into main logistics tasks and sub-logistics tasks. The main logistics task refers to the logistics task of the warehouse logistics vehicle between different types of operation areas, and the sub-logistics task refers to the logistics task between warehouse locations in the storage operation area. The embodiment of the present application optimizes the layout relationship of the goods that need to be stored in the warehouse, and when optimizing the layout relationship, it is necessary to optimize the global layout relationship and the local layout relationship of the warehouse respectively according to the main logistics task and the sub-logistics task.

[0054] By distinguishing between main logistics tasks and sub-logistics tasks, logistics route planning can be optimized and unnecessary transportation and waiting time can be reduced. The main logistics tasks focus on the logistics flow between different types of operation areas, which helps to achieve macro-logistics scheduling and optimization; while the sub-logistics tasks focus on the detailed operations within the storage operation area, which can further refine and improve local operation efficiency. By dividing the main logistics tasks and sub-logistics tasks, it helps to achieve smooth connection and efficient operation of internal warehouse logistics, meet more diverse logistics needs, and improve the overall operation capacity of the warehouse.

[0055] S102: Obtain historical order data corresponding to the warehouse, and determine the operation path corresponding to the main logistics task and multiple sub-operation paths contained in the operation path based on the historical order data; wherein the sub-operation path is composed of any two adjacent operation areas in the operation path.

[0056] Get the historical order data of the warehouse within a certain period of time. The historical order data here can be the order data of the past year or several years, or the historical order data of the current logistics period. The logistics period refers to the logistics peak period, logistics stable period, and logistics trough period obtained according to the warehouse logistics turnover rate. If the logistics peak period of the warehouse is April-September, and the current date is May, then the historical order data can be the order data in the same period of last year or the past few years. After obtaining the historical order data, analyze the above historical order data to determine the operation path corresponding to the main logistics task and the multiple sub-operation paths contained in the operation path. The operation path refers to the path composed of the operation areas passed by the goods in each historical order data, which represents the complete logistics operation process of the goods in the warehouse. The sub-operation path is composed of any two adjacent operation areas in the operation path. For example, the operation path of a certain product is the warehousing area, inspection area, storage area, and outbound area, then the sub-operation paths contained in the operation path are: warehousing area-inspection area, inspection area-storage area, storage area-outbound area.

[0057] S103: According to the operation amount and path length corresponding to the sub-operation path, a designated operation area with global layout defects is screened out from the operation area, and the global layout relationship corresponding to the designated operation area is optimized.

[0058] The workload and path length are two indicators to measure the performance of different sub-operation paths. The workload refers to the number of occurrences of each sub-operation path in the historical order data, and the path length refers to the distance traveled by the warehouse logistics vehicle when operating according to the sub-operation path. According to the workload and path length, the relationship between the operation intensity and the operation distance between each operation area can be judged, and then the designated operation areas with global layout defects can be screened out from the operation path. The global layout defect starts from the level of the main logistics task, taking into account the importance and distance of different operation areas in the historical order data, and screens out the designated operation areas with unreasonable layout in each operation area in the warehouse.

[0059] In one embodiment, for each sub-operation path, the path length and the workload corresponding to the sub-operation path are used as the horizontal and vertical coordinates, respectively, to construct a job distribution map corresponding to the sub-operation path. The job distribution map is a scatter plot, which is composed of a number of discrete points, and each discrete point corresponds to a sub-operation path. It should be noted that the sub-operation path only indicates that there is a logistics relationship between the operation areas. When counting the workload, it will not be distinguished according to the path order of the sub-operation path. Whether it is sub-path AB or BA, it will be identified as the same operation path. The sub-operation paths of the above two situations need to be superimposed to summarize the final workload. After obtaining the job distribution map, the designated operation area with global layout defects can be screened out from the operation area according to the distribution position of each discrete point.

[0060] Specifically, the center point of the job distribution map is calculated. The center point is determined based on the maximum boundary of the coordinate interval where the maximum values ​​of the horizontal and vertical coordinates are located. For example, if the maximum vertical coordinate of a discrete point in the job distribution map is 2156 and the horizontal coordinate is 128, and the corresponding coordinate intervals are (2000, 2500) and (120, 130), then based on the maximum boundary values ​​of the coordinate intervals 2500 and 130, the center point of the job distribution map can be calculated to be (1250, 65). After determining the center point, the center area of ​​the area formed by each discrete point can be determined based on this center point. Determine the distribution position of each discrete point in the job distribution map. The distribution position is used to determine whether each discrete point is in the central area. When the discrete point is closer to the central area, it indicates that the workload and path length between the job areas connected by the sub-job path are moderate, and the location of the job area is relatively reasonable, and there will be no extreme workload or path length. When the discrete point is not in the central area, it indicates that the workload or path length of the sub-operation path is too large or too small. At this time, the setting positions of the two operation areas corresponding to the discrete point are somewhat unreasonable, and it is impossible to take into account both the operation intensity and the operation distance. Therefore, for the operation areas corresponding to such discrete points that are not in the central area, they can be regarded as designated operation areas with global layout defects. For example, when a discrete point is located in the upper right corner of the central area, it means that the path length and workload between the sub-operation paths corresponding to the discrete point are large, and the load exceeds the normal level. In general, it is only necessary to optimize the layout relationship between the operation areas located in the upper right and lower left corners of the central area, which represent two layout defects: overload and underload, respectively.

[0061] It should be noted that the radius of the central area is negatively correlated with the logistics turnover rate of the warehouse. If the current period is at the peak of the warehouse's logistics and the logistics turnover rate is high, the layout requirements for the operation area will be higher. At this time, it is necessary to screen out a wider range of discrete points to optimize the layout of the operation area. By expanding the screening range of discrete points, the optimization performance of the layout relationship can be effectively improved. Therefore, the higher the logistics turnover rate, the smaller the radius of the corresponding central area, so that relatively more discrete points that are not in the central area will be screened out.

[0062] After screening out designated work areas with global layout defects, it is necessary to optimize the global layout relationship of the designated work areas, that is, adjust the relative position relationship of the designated work areas so that they can better adapt to the work intensity and work distance between the designated work areas and improve work efficiency.

[0063] In one embodiment, when adjusting the global layout relationship between designated work areas, the strength of association between different work areas must also be considered. If the association between the designated work areas to be adjusted is not strong, then when adjusting the position, priority can be given to ensuring the rationality of the global layout relationship between work areas with strong associations.

[0064] First, determine the frequency of occurrence of each sub-operation path in the historical order data, and assign the corresponding first correlation to the sub-operation path according to the frequency interval in which the frequency of occurrence is located and the mapping relationship between the frequency interval and the preset correlation. The first correlation reflects the operation intensity relationship between different operation areas. Secondly, the operation attributes between the sub-operation paths are analyzed in association to determine the second correlation between the operation attributes in the sub-operation paths. The second correlation reflects the business intensity relationship between different operation areas, that is, the correlation in terms of operation nature, operation process, operation sequence, etc. According to the first correlation and the second correlation, the comprehensive correlation between each sub-operation path can be determined. This process can be achieved by weighted summation of the first correlation and the second correlation. The specific weight can be set according to actual needs, and this application is not limited to this. After obtaining the comprehensive correlation, the global layout relationship corresponding to the specified operation area is optimized according to the comprehensive correlation.

[0065] Specifically, according to the distribution position, the global layout defect type corresponding to the designated operation area group is determined; among them, the global layout defect types include heavy load defect and light load defect. The heavy load defect refers to the defect situation of large workload and path length, and the light load defect refers to the defect situation of small workload and path length. The heavy load defect will cause the operation area with high logistics intensity to have a long transportation distance during operation, affecting the logistics efficiency, while the light load defect will cause some operation areas with less logistics volume to waste resources due to their close settings. Therefore, for these two types of global layout defects, the global layout relationship between the corresponding designated operation areas needs to be optimized.

[0066] First, according to the comprehensive correlation, a first target operation area having a strong correlation with the designated operation area is determined, and it is determined whether there is an overlapping second target operation area in the first target operation area corresponding to each designated operation area.

[0067] If so, it means that although there are defects in the global layout relationship between the specified operation areas, when adjusting their layout, since both have the same operation area with a strong correlation, it means that these operation areas have a high degree of interdependence or interactivity in operation. At this time, it is necessary to optimize the global layout relationship corresponding to the specified operation area based on the global layout defect type and the relative position relationship between the specified operation area and the second target operation area. For example, there is a heavy load defect between the inspection area and the storage area. The workload between the two operation areas is large, but the distance between the two is far, which will seriously affect the logistics efficiency of the goods. The inspection area and the storage area are both strongly correlated with the sorting area. When optimizing the global layout relationship between the inspection area and the storage area, it is necessary not only to adjust the inspection area and the storage area to adjacent positions, but also to make the position of the sorting area adjacent to the two.

[0068] If not, it indicates that there is no association between the first target operation area that has a strong association with the designated operation area. At this time, based on the global layout defect type and the relative position relationship between the designated operation area and the first target operation area, the global layout relationship corresponding to the designated operation area is optimized. For example, there is an overload defect between the warehousing area and the storage area, there is a strong association between the inspection area and the warehousing area, and there is a strong association between the storage area and the outbound area. When adjusting the layout of the warehousing area and the storage area, it is also necessary to take into account the strong association between the various operation areas. It is necessary to adjust the warehousing area and the storage area to adjacent positions while ensuring the relative position between the original operation areas. If it is not possible to adjust to an adjacent position, it is necessary to further set the operation area corresponding to the sub-operation path with a higher comprehensive association degree at an adjacent position according to the level of comprehensive association. It should be noted that the global layout relationship also needs to take into account the distance between the warehousing area and the outbound area from the warehouse entrance and exit.

[0069] S104: Based on the optimized global layout relationship, the storage cargo type corresponding to each storage location in the storage operation area is obtained.

[0070] After optimizing the global layout of the warehouse, for the goods that need to be placed in the storage operation area, the layout relationship of each warehouse location needs to be further refined to significantly improve the delivery efficiency when picking up goods in batches. Generally, warehouses store multiple types of goods. Therefore, the types of goods stored in different warehouse locations are different. First, it is necessary to clarify the types of goods stored in each warehouse location in the storage operation area.

[0071] S105: Optimizing the local layout relationship between storage locations corresponding to the sub-logistics tasks according to the types of stored goods and the logistics volumes corresponding to the types of stored goods.

[0072] In the embodiment of the present application, the warehouse is a multi-layer warehouse, and the adjacent warehouses can accommodate storage and logistics vehicles to pass in parallel. To optimize the local layout relationship between warehouses, it is actually necessary to place special goods that are difficult to store, fragile, and difficult to transport in the warehouse, or hot goods with large logistics volume, in a location that is easier to transport. At the same time, it is also necessary to consider the cross-relationship between goods orders, that is, whether orders for different types of goods are placed at the same time. For such goods that are often ordered in a related manner, the distance between their warehouses should be shortened as much as possible to reduce the difficulty of leaving the warehouse.

[0073] In one embodiment, a designated operation path corresponding to a storage cargo type is determined, and a next operation area corresponding to the storage cargo type is determined according to the designated operation path. When the next operation areas corresponding to multiple storage cargo types are the same, the logistics priority corresponding to the storage cargo type is determined according to the storage cargo type and the logistics volume corresponding to the storage cargo type, and the relative distance between the warehouse location where the storage cargo type is located and the next operation area is determined according to the logistics priority, so as to determine the local layout relationship between the warehouse locations corresponding to the sub-logistics task according to the relative distance; wherein the relative distance is negatively correlated with the logistics priority, and the higher the logistics priority of the storage cargo type, the shorter the relative distance between it and the next operation area, and the shorter the logistics distance.

[0074] The above process only provides an approximate storage space range for each type of warehouse goods. How to store goods between the storage spaces, whether to place the goods in sequence from beginning to end or to place them in parallel in multiple adjacent storage spaces, requires further analysis based on the historical order data of the storage goods type.

[0075] Specifically, based on historical order data, the outbound orders corresponding to the warehouse goods types are analyzed to determine whether there is a cross relationship between the warehouse goods types. The cross relationship means that different types of goods are usually ordered together, such as chopsticks and spoons, sofa pillows and sofa covers, etc. For such warehouse goods with cross relationships, the corresponding warehouse goods collection needs to be generated, and the warehouse goods collection is cross-layouted according to the relative distances corresponding to the warehouse goods collections, so as to achieve the cross-out of the warehouse goods collection through the obtained local layout relationship.

[0076] That is to say, the distance difference between the relative distances corresponding to the storage goods collection is determined. The distance difference represents the distance between the storage positions of the goods in the storage goods collection. If the distance difference is greater than the preset difference, it means that the storage positions of the goods in the storage goods collection are far apart. When shipping, it is necessary to go around a longer distance to complete the picking of all the goods. At this time, the goods with a relatively long distance need to be stored in the storage positions with a relatively close distance. Therefore, according to the storage goods types contained in the storage goods collection, the storage level corresponding to the storage goods type is determined to realize the cross layout of the storage goods collection according to different storage levels. Different storage levels are suitable for placing different types of goods. For easily damaged storage goods, they need to be placed in the upper layer or in an easily accessible position to avoid damage and improve the storage safety of the goods. If the distance difference is not greater than the preset difference, it means that the storage positions of the goods in the storage goods collection are close. At this time, according to the specific amount of goods, you can choose to store the goods according to the original position or set the storage goods collection in the adjacent position to realize the cross layout of the storage goods collection.

[0077] S106: Obtain a target operation path corresponding to the warehouse logistics vehicle according to the optimized global layout relationship and local layout relationship.

[0078] After optimizing the global layout relationship and local layout relationship of the warehouse according to the above steps, the corresponding target operation path of the warehouse logistics vehicle can be generated for different types of warehouse goods. This target operation path not only effectively improves the operation efficiency of the warehouse logistics vehicle between different operation areas, but also improves the coordinated outbound rate of goods through the cross-layout between warehouse locations.

[0079] The above are embodiments of the method proposed in this application. Based on the same idea, some embodiments of this application also provide devices and non-volatile computer storage media corresponding to the above methods.

[0080] Figure 2 This is a schematic diagram of the structure of a warehouse logistics management device provided in an embodiment of the present application. Figure 2 As shown, including:

[0081] at least one processor; and,

[0082] at least one processor is communicatively connected to a memory; wherein,

[0083] The memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor so that the at least one processor can execute a warehouse logistics management method as described in any one of the above items.

[0084] The embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:

[0085] A warehouse logistics management method as described in any of the above items.

[0086] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0087] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0088] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0089] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0090] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0091] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0092] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0093] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0094] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0095] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0096] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A warehouse logistics management method, characterized in that: The method comprises: According to the operation area that the storage logistics vehicle passes through in the warehouse, the logistics tasks corresponding to the storage logistics vehicle are divided into main logistics tasks and sub-logistics tasks; wherein the main logistics tasks represent logistics tasks between different types of operation areas, and the sub-logistics tasks represent logistics tasks between storage locations within the storage operation area; Acquire historical order data corresponding to the warehouse, and determine the operation path corresponding to the main logistics task and multiple sub-operation paths included in the operation path according to the historical order data; wherein the sub-operation path is composed of any two adjacent operation areas in the operation path; According to the operation volume and path length corresponding to the sub-operation path, a designated operation area with global layout defects is screened out from the operation area, and the global layout relationship corresponding to the designated operation area is optimized; Based on the optimized global layout relationship, obtaining the storage cargo type corresponding to each storage location in the storage operation area; According to the warehouse goods type and the logistics volume corresponding to the warehouse goods type, optimizing the local layout relationship between the warehouse locations corresponding to the sub-logistics task; According to the optimized global layout relationship and the local layout relationship, the target operation path corresponding to the warehouse logistics vehicle is obtained.

2. A warehouse logistics management method according to claim 1, characterized in that: According to the operation volume and path length corresponding to the sub-operation path, a designated operation area having global layout defects is screened out from the operation area, specifically including: For each sub-operation path, the path length and the amount of work corresponding to the sub-operation path are used as the horizontal coordinate and the vertical coordinate respectively to construct a work distribution map corresponding to the sub-operation path; wherein the sub-operation distribution map includes a plurality of discrete points, each of which corresponds to a sub-operation path; According to the distribution positions of the discrete points in the operation distribution map, a designated operation area having global layout defects is screened out from the operation area.

3. A warehouse logistics management method according to claim 2, characterized in that: According to the distribution positions of the discrete points in the operation distribution map, the designated operation area with global layout defects is selected from the operation area, specifically including: Determine the central area of ​​the area formed by each discrete point in the operation distribution map; wherein the radius of the central area is negatively correlated with the logistics turnover rate of the warehouse; The distribution position of each discrete point in the job distribution map is determined, and based on the distribution position, the job area contained in the sub-job path corresponding to the discrete point in the job distribution map that is not in the central area is used as the designated job area where the global layout defect exists in the job area.

4. A warehouse logistics management method according to claim 3, characterized in that: Optimizing the global layout relationship corresponding to the designated operation area, specifically including: Determine the occurrence frequency of each sub-operation path in the historical order data, and assign a corresponding first relevance to the sub-operation path according to a frequency interval in which the occurrence frequency is located and a mapping relationship between the frequency interval and a preset relevance; Performing correlation analysis on the job attributes between the sub-job paths to determine a second correlation degree between the job attributes in the sub-job paths; The comprehensive correlation between the sub-operation paths is determined according to the first correlation and the second correlation, and the global layout relationship corresponding to the designated operation area is optimized according to the comprehensive correlation.

5. A warehouse logistics management method according to claim 4, characterized in that: According to the comprehensive correlation, the global layout relationship corresponding to the designated operation area is optimized, specifically including: Determine the global layout defect type corresponding to the designated operation area group according to the distribution position; wherein the global layout defect type includes a heavy load defect and a light load defect; According to the comprehensive correlation, determine a first target operating area that has a strong correlation with the designated operating area, and determine whether there is an overlapping second target operating area in the first target operating area corresponding to each designated operating area; If yes, optimizing the global layout relationship corresponding to the designated operation area based on the global layout defect type and the relative position relationship between the designated operation area and the second target operation area; If not, the global layout relationship corresponding to the designated operation area is optimized based on the global layout defect type and the relative position relationship between the designated operation area and the first target operation area.

6. A warehouse logistics management method according to claim 1, characterized in that: According to the warehouse goods type and the logistics volume corresponding to the warehouse goods type, the local layout relationship between the warehouse locations corresponding to the sub-logistics task is optimized, specifically including: Determine a designated operation path corresponding to the type of stored goods, and determine a next operation area corresponding to the type of stored goods according to the designated operation path; In the case where the next operation areas corresponding to multiple types of stored goods are the same, determining the logistics priority corresponding to the type of stored goods according to the type of stored goods and the logistics volume corresponding to the type of stored goods; According to the logistics priority, the relative distance between the warehouse location where the storage cargo type is located and the next operation area is determined, so as to determine the local layout relationship between the warehouse locations corresponding to the sub-logistics task based on the relative distance; wherein the relative distance is negatively correlated with the logistics priority.

7. A warehouse logistics management method according to claim 6, characterized in that: Determining the local layout relationship between the warehouses corresponding to the sub-logistics tasks according to the relative distances specifically includes: Analyzing the outbound orders corresponding to the types of stored goods according to the historical order data to determine whether there is an intersection relationship between the types of stored goods; If so, for the storage cargo types with the cross relationship, a corresponding storage cargo set is generated, and the storage cargo sets are cross-laid out according to the relative distances corresponding to the storage cargo sets, so as to realize the cross-delivery of the storage cargo sets through the obtained local layout relationship.

8. A warehouse logistics management method according to claim 7, characterized in that: According to the relative distance, the warehouse goods collection is cross-arranged, specifically including: Determine the distance difference between the relative distances corresponding to the warehouse cargo sets respectively; When the distance difference is not greater than a preset difference, the warehouse cargo collection is arranged in an adjacent warehouse position to realize a cross layout of the warehouse cargo collection; When the distance difference is greater than the preset difference, the storage level corresponding to the storage cargo type is determined according to the storage cargo type included in the storage cargo set, so as to realize the cross layout of the storage cargo set according to different storage levels.

9. A warehouse logistics management device, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a warehouse logistics management method as described in any one of claims 1-8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: A warehouse logistics management method as described in any one of claims 1 to 8.

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