Goods allocation method and system for warehouse management and electronic equipment

Abstract

The invention discloses a goods allocation method for warehouse management. The method comprises the following steps: obtaining a goods storage instruction; the goods allocation types and the goods allocation states are screened, and idle goods allocation information is obtained; obtaining cargo information; according to the cargo information, performing recommendation score calculation on the cargo allocations in the idle cargo allocation information, and taking the cargo allocation with the highest score as the optimal recommended cargo allocation; the goods allocation information of the recommended optimal goods allocation is output outwards; wherein recommendation score calculation is combined with the goods allocation matching degree and goods allocation historical data, compared with the prior art, the scheme can overcome the problems in the prior art, the optimal goods allocation can be automatically calculated through an algorithm, human errors and intervention are reduced, intelligent management is achieved, the goods allocation can be dynamically adjusted according to real-time data, the working efficiency and the space utilization rate are improved, and the working efficiency is improved. Compared with the prior art, the technical effects are remarkable, and in addition, the invention further provides a goods allocation distribution system and electronic equipment for warehouse management, and the technical effects are also achieved.

Description

Technical Field

[0001] The present application relates to the technical field of warehouse management, and more specifically, to a cargo space allocation method, system and electronic equipment for warehouse management. Background Art

[0002] The allocation of cargo spaces is a very important part of the warehouse management system (WMS). It means dividing the storage area of ​​the warehouse into several cargo spaces and storing the materials in the corresponding cargo spaces according to certain rules. How to effectively allocate the goods to the best location in the warehouse is not only related to the space utilization efficiency of the warehouse, but also directly affects the efficiency and accuracy of goods entering and leaving the warehouse and the operating cost of the entire supply chain.

[0003] The WMS system of the prior art uses a single configuration and a single calculation method when allocating cargo spaces. For example, if the configuration is set to follow the first-in-first-out principle, only the storage time of this principle will be considered when allocating cargo spaces; if the configuration is set to follow the proximity principle, only the nearest free cargo space will be selected for allocation based on the distance between the current location of the goods and the in / out platform or handling equipment. The unit configuration method cannot flexibly provide the allocation weight of cargo spaces. If the configuration changes, technical personnel are required to assist in modifying the logic code. The adaptability is poor. When the frequency of goods entering and leaving the warehouse or the storage volume changes, the previous configuration may no longer be applicable.

[0004] Therefore, how to provide a cargo space allocation method for warehouse management that can overcome the existing technical problems, reduce human errors and interventions, dynamically adjust cargo spaces according to real-time data, and improve operational efficiency and space utilization is a technical problem that needs to be urgently solved by technical personnel in this field. Summary of the invention

[0005] In order to solve the above technical problems, the present application provides a cargo space allocation method for warehouse management, which can overcome the problems of the existing technology, reduce human errors and interventions, dynamically adjust cargo spaces according to real-time data, and improve operational efficiency and space utilization.

[0006] The technical solution provided by the present invention is as follows:

[0007] The present invention provides a cargo space allocation method for warehouse management, the cargo space allocation method for warehouse management is characterized in that the method comprises the following steps:

[0008] Obtain cargo storage instructions;

[0009] Screening cargo location types and cargo location states to obtain free cargo location information, wherein the free cargo location information includes free single-depth location information and free multi-depth location information;

[0010] Get cargo information;

[0011] According to the cargo information, a recommended score is calculated for the cargo locations in the free cargo location information, and the cargo location with the highest score is used as the recommended best cargo location;

[0012] Output the recommended best cargo location information to the outside world;

[0013] Among them, the recommended score calculation combines the cargo location matching degree and cargo location historical data.

[0014] Furthermore, in a preferred embodiment of the present invention, the cargo location matching degree includes: storage requirement matching degree and capacity matching degree;

[0015] The cargo location historical data includes: cargo location handling frequency, cargo location utilization rate, and distance between the cargo location and the exit.

[0016] Furthermore, in a preferred embodiment of the present invention, the method for calculating the recommendation score comprises the following steps:

[0017] Calculate the matching degree between the cargo storage requirements and the cargo location attributes to obtain the storage requirement matching score;

[0018] Calculate the matching degree of cargo space capacity and obtain the recommended score of cargo space capacity;

[0019] Calculate the cargo handling frequency and obtain the recommended score for cargo handling frequency;

[0020] Obtain the cargo space utilization rate and obtain the recommended cargo space utilization rate score;

[0021] Calculate the distance between the cargo location and the exit, and obtain the recommended score for the cargo location distance;

[0022] Each cargo space in the free cargo space information is scored according to the storage requirement matching score, the capacity matching score, the cargo space handling frequency recommendation score, the cargo space utilization recommendation score, and the cargo space distance recommendation score.

[0023] Furthermore, in a preferred embodiment of the present invention, “calculating the matching degree between the cargo storage requirement and the cargo location attribute to obtain the storage requirement matching score” specifically includes the following steps:

[0024] Obtain cargo weight data and cargo volume data;

[0025] Matching the cargo weight data and cargo volume data with the cargo space storage capacity weight data and cargo space storage capacity volume data;

[0026] The ratio of the cargo weight data to the cargo space storable weight data is less than 1, and the closer it is to 1, the higher the storage requirement matching score;

[0027] The ratio of the cargo volume data to the storage volume data of the cargo space is less than 1, and the closer it is to 1, the higher the storage requirement matching score.

[0028] Furthermore, in a preferred embodiment of the present invention,

[0029] The “calculating the matching degree of cargo space capacity and obtaining the recommended score of cargo space capacity” specifically includes the following steps:

[0030] Get the total capacity data and the used capacity data of the cargo space.

[0031] Obtain the used capacity data of the cargo space according to the total capacity data of the cargo space and the used capacity data of the cargo space;

[0032] The ratio of the used capacity data of the cargo space to the total capacity data of the cargo space is less than 1, and the closer it is to 1, the higher the recommended score of the cargo space capacity.

[0033] Further, in a preferred embodiment of the present invention, “calculating the cargo handling frequency and obtaining the recommended cargo handling frequency score” specifically includes the following steps:

[0034] Get the current outbound frequency of the cargo location and the total outbound frequency. The outbound frequency reflects the number of times the cargo location is moved.

[0035] The ratio of the current outbound frequency of the cargo location to the total outbound frequency is less than 1, and the closer it is to 1, the higher the recommended score for the cargo location handling frequency.

[0036] Furthermore, in a preferred embodiment of the present invention,

[0037] The “obtaining cargo space utilization and obtaining a recommended cargo space utilization score” specifically includes the following steps:

[0038] Get the cargo space utilization rate. The lower the cargo space utilization rate, the higher the recommended cargo space utilization rate score.

[0039] Furthermore, in a preferred embodiment of the present invention,

[0040] The “calculating the distance between the cargo location and the exit to obtain the recommended score for the cargo location distance” specifically includes the following steps:

[0041] Get the maximum distance of the cargo location farthest from the delivery port;

[0042] Get the current cargo location distance from the outbound port;

[0043] The ratio of the difference between the maximum cargo location distance and the current cargo location distance to the maximum cargo location distance is less than 1, and the closer the ratio is to 1, the higher the recommended cargo location distance score is; and / or the method further includes the following steps:

[0044] After outputting the recommended best cargo location information, update the cargo location utilization rate.

[0045] In addition, the present invention also provides a cargo space allocation system for warehouse management, which is used to execute the cargo space allocation method for warehouse management as described above; the system comprises:

[0046] A first acquisition module, the first acquisition module is used to acquire a cargo storage instruction;

[0047] A first execution module, the first execution module is used to screen the cargo location type and cargo location status to obtain free cargo location information, wherein the free cargo location information includes free single-depth location information and free multi-depth location information;

[0048] A second acquisition module, the second acquisition module is used to acquire cargo information;

[0049] A second execution module, the second execution module is used to calculate the recommended score of the cargo spaces in the free cargo space information according to the cargo information, and take the cargo space with the highest score as the recommended best cargo space;

[0050] The first output module is used to output the cargo location information of the recommended best cargo location to the outside.

[0051] In addition, the present invention also provides an electronic device, comprising:

[0052] A computer program, wherein the computer program is used to execute the cargo space allocation method for warehouse management as described above;

[0053] A memory, the memory being used to store the computer program;

[0054] A processor is used to run the computer program.

[0055] The cargo space allocation method for warehouse management involved in the present invention comprises: a cargo space allocation method for warehouse management, the method comprising the following steps: obtaining cargo storage instructions; screening cargo space types and cargo space states to obtain free cargo space information, the free cargo space information comprising free single-depth space information and free multi-depth space information; obtaining cargo information; calculating recommended scores for cargo spaces in the free cargo space information according to the cargo information, and taking the cargo space with the highest score as the recommended best cargo space; and outputting the cargo space information of the recommended best cargo space externally; wherein the recommended score calculation is combined with cargo space matching degree and cargo space historical data. Compared with the prior art, this solution can overcome the problems in the prior art, can automatically calculate the optimal cargo space through an algorithm, reduce human errors and interventions, and realize intelligent management. In addition, the cargo space can be dynamically adjusted according to real-time data to improve operating efficiency and space utilization. Compared with the prior art, it has significant technical effects. In addition, the present invention also provides a cargo space allocation system and electronic equipment for warehouse management, which also have the above-mentioned technical effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0057] Figure 1 The data interaction logic structure diagram involved in the cargo space allocation method for warehouse management provided by the embodiment of the present invention is a structural schematic diagram of the cargo space allocation method for warehouse management;

[0058] Figure 2 A flowchart of an algorithm involved in a method for allocating cargo space for warehouse management provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. 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 the field without creative work are within the scope of protection of this application.

[0060] It should be noted that when an element is referred to as being "fixed on" or "set on" another element, it can be directly on the other element or indirectly set on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element.

[0061] It should be understood that the terms "length", "width", "up", "down", "front", "back", "first", "second", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0062] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "multiple" and "several" mean two or more, unless otherwise clearly and specifically defined.

[0063] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which this application can be implemented. Therefore, they have no substantive technical significance. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical content disclosed in this application without affecting the effects and purposes that can be achieved by this application.

[0064] Reference Figure 1 to Figure 2 As shown, the technical solution involved in the embodiment of the present invention includes: obtaining cargo storage instructions; screening cargo location types and cargo location states to obtain free cargo location information, wherein the free cargo location information includes free single-depth location information and free multi-depth location information; obtaining cargo information; calculating recommended scores for cargo locations in the free cargo location information according to the cargo information, and taking the cargo location with the highest score as the recommended best cargo location;

[0065] Output the recommended best cargo location information to the outside world; the recommended score is calculated based on the cargo location matching degree and cargo location historical data.

[0066] The cargo space allocation method for warehouse management involved in the embodiment of the present invention, compared with the prior art, includes the following steps: obtaining cargo storage instructions; screening cargo space types and cargo space states to obtain free cargo space information, wherein the free cargo space information includes free single-depth space information and free multi-depth space information; obtaining cargo information; according to the cargo information, calculating recommended scores for the cargo spaces in the free cargo space information, and taking the cargo space with the highest score as the recommended best cargo space; and externally outputting the cargo space information of the recommended best cargo space; wherein the recommended score calculation is combined with the cargo space matching degree and the cargo space historical data. Compared with the prior art, this solution can overcome the problems in the prior art, can automatically calculate the optimal cargo space through an algorithm, reduce human errors and interventions, and realize intelligent management. In addition, the cargo space can be dynamically adjusted according to real-time data to improve operating efficiency and space utilization. Compared with the prior art, it has significant technical effects. In addition, the present invention also provides a cargo space allocation system and electronic device for warehouse management, which also have the above-mentioned technical effects.

[0067] Specifically, in a specific embodiment of the present invention, the cargo location matching degree includes: storage requirement matching degree and capacity matching degree;

[0068] The cargo location historical data includes: cargo location handling frequency, cargo location utilization rate, and distance between the cargo location and the exit.

[0069] Specifically, in a specific embodiment of the present invention, the recommendation score calculation method includes the following steps:

[0070] Calculate the matching degree between the cargo storage requirements and the cargo location attributes to obtain the storage requirement matching score;

[0071] Calculate the matching degree of cargo space capacity and obtain the recommended score of cargo space capacity;

[0072] Calculate the cargo handling frequency and obtain the recommended score for cargo handling frequency;

[0073] Obtain the cargo space utilization rate and obtain the recommended cargo space utilization rate score;

[0074] Calculate the distance between the cargo location and the exit, and obtain the recommended score for the cargo location distance;

[0075] Each cargo space in the free cargo space information is scored according to the storage requirement matching score, the capacity matching score, the cargo space handling frequency recommendation score, the cargo space utilization recommendation score, and the cargo space distance recommendation score.

[0076] Specifically, in a specific embodiment of the present invention, “calculating the matching degree between the cargo storage requirement and the cargo location attribute to obtain the storage requirement matching score” specifically includes the following steps:

[0077] Obtain cargo weight data and cargo volume data;

[0078] Matching the cargo weight data and cargo volume data with the cargo space storage capacity weight data and cargo space storage capacity volume data;

[0079] The ratio of the cargo weight data to the cargo space storable weight data is less than 1, and the closer it is to 1, the higher the storage requirement matching score;

[0080] The ratio of the cargo volume data to the storage volume data of the cargo space is less than 1, and the closer it is to 1, the higher the storage requirement matching score.

[0081] Specifically, in a specific embodiment of the present invention, the “calculating the matching degree of cargo space capacity and obtaining the recommended score of cargo space capacity” specifically includes the following steps:

[0082] Get the total capacity data and the used capacity data of the cargo space.

[0083] Obtain the used capacity data of the cargo space according to the total capacity data of the cargo space and the used capacity data of the cargo space;

[0084] The ratio of the used capacity data of the cargo space to the total capacity data of the cargo space is less than 1, and the closer it is to 1, the higher the recommended score of the cargo space capacity.

[0085] Specifically, in a specific embodiment of the present invention, in the formula, "calculating the cargo location handling frequency and obtaining the cargo location handling frequency recommended score" specifically includes the following steps:

[0086] Get the current outbound frequency of the cargo location and the total outbound frequency. The outbound frequency reflects the number of times the cargo location is moved.

[0087] The ratio of the current outbound frequency of the cargo location to the total outbound frequency is less than 1, and the closer it is to 1, the higher the recommended score for the cargo location handling frequency.

[0088] As described above, the embodiments of the present invention optimize cargo space allocation by comprehensively considering multiple factors such as storage requirement matching, capacity matching, cargo space handling frequency, cargo space utilization, and the distance between the cargo space and the exit, thereby improving the efficiency of cargo storage and retrieval, and by recommending cargo spaces with high handling frequency, reducing the number of times cargo is handled, thereby significantly reducing labor intensity and costs.

[0089] Specifically, in a specific embodiment of the present invention,

[0090] The “obtaining cargo space utilization and obtaining a recommended cargo space utilization score” specifically includes the following steps:

[0091] Get the cargo space utilization rate. The lower the cargo space utilization rate, the higher the recommended cargo space utilization rate score.

[0092] Specifically, in a specific embodiment of the present invention,

[0093] The “calculating the distance between the cargo location and the exit to obtain the recommended score for the cargo location distance” specifically includes the following steps:

[0094] Get the maximum distance of the cargo location farthest from the delivery port;

[0095] Get the current cargo location distance from the outbound port;

[0096] The ratio of the difference between the maximum cargo location distance and the current cargo location distance to the maximum cargo location distance is less than 1, and the closer the ratio is to 1, the higher the recommended cargo location distance score is; and / or the method further includes the following steps:

[0097] After outputting the recommended best cargo location information, update the cargo location utilization rate.

[0098] In addition, in the embodiment of the present invention, there is also a storage location alarm mechanism, including an alarm module for excessive storage location utilization, which triggers an alarm when the utilization of a certain storage location exceeds a set threshold, and the threshold can be adjusted according to the actual situation of the warehouse, and an abnormal storage and access alarm module: when the storage and access time, quantity or location of the goods is inconsistent with expectations, an alarm is triggered, such as not entering or leaving the warehouse within the expected time, or the goods are placed in the wrong storage location. The alarm notification method includes sending an alarm notification to the management personnel in real time through the message push function of the Web or mobile terminal, and sending the alarm information to relevant personnel in the form of an email to ensure the traceability of the information.

[0099] It should be noted that effectively allocating goods to the best location in the warehouse is not only related to the space utilization efficiency of the warehouse, but also directly affects the efficiency and accuracy of goods entering and leaving the warehouse and the operating cost of the entire supply chain. The cargo space allocation method for warehouse management involved in the embodiment of the invention utilizes the above-mentioned technical means to automatically complete cargo space allocation. Compared with the prior art, the entire process does not require human intervention, improves efficiency and accuracy, reduces error rate, and saves a lot of labor costs, with significant technical effects.

[0100] In addition, the present invention also provides a cargo space allocation system for warehouse management, which is used to execute the cargo space allocation method for warehouse management as described above; the system comprises:

[0101] A first acquisition module, the first acquisition module is used to acquire a cargo storage instruction;

[0102] A first execution module, the first execution module is used to screen the cargo location type and cargo location status to obtain free cargo location information, wherein the free cargo location information includes free single-depth location information and free multi-depth location information;

[0103] A second acquisition module, the second acquisition module is used to acquire cargo information;

[0104] A second execution module, the second execution module is used to calculate the recommended score of the cargo spaces in the free cargo space information according to the cargo information, and take the cargo space with the highest score as the recommended best cargo space;

[0105] The first output module is used to output the cargo location information of the recommended best cargo location to the outside.

[0106] In addition, the present invention also provides an electronic device, comprising:

[0107] A computer program, wherein the computer program is used to execute the cargo space allocation method for warehouse management as described above;

[0108] A memory, the memory being used to store the computer program;

[0109] A processor is used to run the computer program.

[0110] To be more specific, the function of allocating cargo spaces in a warehouse management system is a very important link. How to effectively allocate goods to the best location in the warehouse is not only related to the space utilization efficiency of the warehouse, but also directly affects the efficiency and accuracy of goods entering and leaving the warehouse, as well as the operating cost of the entire supply chain. Compared with the prior art, the cargo space allocation method for warehouse management involved in the embodiment of the present invention can automatically complete cargo space allocation, and the entire process does not require manual intervention, which improves efficiency and accuracy, and also solves the difficulties of manual allocation, reduces the error rate, and saves a lot of labor costs.

[0111] In the embodiment of the present invention, when allocating cargo spaces, the allocation strategies considered mainly include four principles: the depth principle, the proximity principle, the first-in-first-out principle and the designated allocation principle. These principles are intended to optimize the storage and retrieval process of goods and improve the efficiency and safety of warehouse operations, such as: the depth principle, the small-depth cargo spaces are placed after the large-depth cargo spaces are placed, which helps to reduce the operation of moving cargo spaces during subsequent storage and retrieval of goods; the proximity principle is to select the nearest free cargo space for allocation based on the distance between the current position of the goods and the in / out platform or handling equipment to reduce the handling distance and time; the first-in-first-out principle is to allocate cargo spaces according to the order in which the goods enter the warehouse, and the goods that enter the warehouse first are removed from the warehouse first to ensure the freshness and validity period of the goods, to speed up the material turnover, and to avoid losses caused by rust, deformation, deterioration and other damages caused by long-term backlog of materials. In general, the technical solution involved in the embodiment of the present invention is to automatically calculate the optimal cargo space allocation plan through an algorithm based on information such as the attributes, inventory status, in / out requirements of the goods.

[0112] Among them, allocating cargo locations means dividing the storage area of ​​the warehouse into several cargo locations, and storing materials in the corresponding cargo locations according to certain rules.

[0113] Among them, the depth principle in the allocation strategy refers to the depth of the shelf in the vertical warehouse. A single-row shelf is a single-depth shelf, and a double-depth shelf is a row, column, and layer with two inner and outer storage locations. The inner side is a double-depth shelf with a larger depth, and the outer side is a single-depth shelf with a smaller depth.

[0114] It should be noted that conventional WMS systems in the prior art use a single configuration and single calculation method when allocating cargo locations. For example, if the configuration is set to follow the first-in-first-out principle, only the warehousing time of this principle will be considered when allocating cargo locations; if the configuration is set to follow the proximity principle, only the nearest free cargo location will be selected for allocation based on the distance between the current location of the goods and the in / out platform or handling equipment. The unit configuration method cannot flexibly provide the allocation weight of cargo locations. If the configuration changes, technical personnel are required to assist in modifying the logic code. The adaptability is poor. When the frequency of goods entering and leaving the warehouse or the storage volume changes, the previous configuration may no longer be applicable.

[0115] Based on the above technical problems, in an embodiment of the present invention, a judgment is first made based on the type of cargo location and the status of the cargo location. When the cargo location type is multi-depth, the empty cargo locations are judged first, and it is necessary to query >= two empty cargo locations (the inner and outer sides are a group), and lock a group of cargo locations at the same time. When it is a single-depth location, it can be used as long as there is an empty cargo location, and the cargo location status also needs to be "free" to be used. When the cargo location status is "disabled when there is goods", an outbound task can be allowed. After calculating the cargo locations that meet the conditions for storing goods, the allocated comprehensive score is calculated.

[0116] The specific calculation method is:

[0117] First, check whether the storage requirements match. If not, the score is the lowest. Check whether the capacity is sufficient. If the capacity is insufficient, the score is the lowest. Secondly, the higher the handling frequency, the higher the score. In practice, we hope that the frequently handled goods are closer to the shipping port. The lower the utilization rate, the higher the score. In practice, we hope to fill the cargo spaces with low utilization rates. Then calculate the distance. The closer the distance, the higher the score. Finally, calculate the comprehensive score based on the calculation results of the requirements, capacity, distance, and frequency parameters and the assigned weights, give the best cargo space, and update the cargo space utilization rate after successful allocation.

[0118] Outbound frequency: The higher the outbound frequency of goods, the higher the storage location score can be, so as to respond to outbound demand more quickly. Storage location score (outbound frequency) = outbound times of goods / total outbound times*weight coefficient

[0119] Cargo location: The closer the cargo location is to the outbound port or picking area, the higher the score is, in order to reduce handling time and improve picking efficiency. The calculation formula is: Cargo location score (position) = (maximum distance - current cargo location distance) / maximum distance * weight coefficient;

[0120] Cargo space capacity and utilization: The larger the remaining capacity of the cargo space, the higher the score can be, so that more goods can be accommodated. At the same time, consider the utilization of the cargo space to avoid excessive or low utilization to maintain a balance.

[0121] The calculation formula is: cargo space score (capacity) = (cargo space capacity - occupied capacity) / cargo space capacity * weight coefficient;

[0122] Goods matching degree: the matching degree between the goods to be allocated to the cargo location and the cargo location attributes, such as weight, volume, etc. Calculation formula: cargo location score (matching degree) = matching degree factor (calculated based on weight, volume, etc.) * weight coefficient;

[0123] Comprehensive score: The above-mentioned scoring factors are weighted and summed to obtain the comprehensive score of the cargo location. Calculation formula: Comprehensive score of cargo location = (cargo location score (frequency of outbound delivery) + cargo location score (location) + cargo location score (capacity) + cargo location score (matching degree)) * weight factor.

[0124] The cargo location with the highest comprehensive score finally calculated according to the above method is the best cargo location, and the cargo location utilization rate is updated after the allocation is successful. That is, compared with the prior art, the system in the scheme involved in the embodiment of the present invention combines all the parameters involved in the calculation, and then comprehensively calculates the cargo location with the highest score and the best according to the weight ratio, and the whole name does not require human intervention. The system automatically completes it when assigning tasks to overcome the corresponding technical problems in the prior art, thereby realizing the calculation of the comprehensive score based on the calculation results of parameters such as requirements, capacity, distance, frequency, etc. and the assigned weights, giving the best cargo location, and successfully allocating and updating the cargo location utilization rate, realizing intelligent management, automatically calculating the optimal cargo location through the algorithm, reducing human errors and interventions, and being efficient and accurate, that is, dynamically adjusting the cargo location according to real-time data, improving operating efficiency and space utilization, and having significant technical effects.

[0125] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A cargo space allocation method for warehouse management, characterized in that: The method comprises the following steps: Obtain cargo storage instructions; Screening cargo location types and cargo location states to obtain free cargo location information, wherein the free cargo location information includes free single-depth location information and free multi-depth location information; Get cargo information; According to the cargo information, a recommended score is calculated for the cargo locations in the free cargo location information, and the cargo location with the highest score is used as the recommended best cargo location; Output the recommended best cargo location information to the outside world; Among them, the recommended score calculation combines the cargo location matching degree and cargo location historical data.

2. The cargo space allocation method for warehouse management according to claim 1, characterized in that: The cargo location matching degree includes: storage requirement matching degree and capacity matching degree; The cargo location historical data includes: cargo location handling frequency, cargo location utilization rate, and distance between the cargo location and the exit.

3. The cargo space allocation method for warehouse management according to claim 2, characterized in that: The recommended score calculation method comprises the following steps: Calculate the matching degree between the cargo storage requirements and the cargo location attributes to obtain the storage requirement matching score; Calculate the matching degree of cargo space capacity and obtain the recommended score of cargo space capacity; Calculate the cargo handling frequency and obtain the recommended score for cargo handling frequency; Obtain the cargo space utilization rate and obtain the recommended cargo space utilization rate score; Calculate the distance between the cargo location and the exit, and obtain the recommended score for the cargo location distance; Each cargo space in the free cargo space information is scored according to the storage requirement matching score, the capacity matching score, the cargo space handling frequency recommendation score, the cargo space utilization recommendation score, and the cargo space distance recommendation score.

4. The cargo space allocation method for warehouse management according to claim 3, characterized in that: The "calculating the matching degree between the cargo storage requirements and the cargo location attributes to obtain the storage requirement matching score" specifically includes the following steps: Obtain cargo weight data and cargo volume data; Matching the cargo weight data and cargo volume data with the cargo space storage capacity weight data and cargo space storage capacity volume data; The ratio of the cargo weight data to the cargo space storable weight data is less than 1, and the closer it is to 1, the higher the storage requirement matching score; The ratio of the cargo volume data to the storage volume data of the cargo space is less than 1, and the closer it is to 1, the higher the storage requirement matching score.

5. The cargo space allocation method for warehouse management according to claim 3, characterized in that: The "calculating the matching degree of cargo space capacity and obtaining the recommended score of cargo space capacity" specifically includes the following steps: Get the total capacity data and the used capacity data of the cargo space. Obtain the used capacity data of the cargo space according to the total capacity data of the cargo space and the used capacity data of the cargo space; The ratio of the used capacity data of the cargo space to the total capacity data of the cargo space is less than 1, and the closer it is to 1, the higher the recommended score of the cargo space capacity.

6. The cargo space allocation method for warehouse management according to claim 3, characterized in that: The "calculating the cargo handling frequency and obtaining the recommended score for the cargo handling frequency" specifically includes the following steps: Get the current outbound frequency of the cargo location and the total outbound frequency. The outbound frequency reflects the number of times the cargo location is moved. The ratio of the current outbound frequency of the cargo location to the total outbound frequency is less than 1, and the closer it is to 1, the higher the recommended score for the cargo location handling frequency.

7. The cargo space allocation method for warehouse management according to claim 3, characterized in that: The "obtaining cargo space utilization and obtaining a recommended cargo space utilization score" specifically includes the following steps: Get the cargo space utilization rate. The lower the cargo space utilization rate, the higher the recommended cargo space utilization score.

8. The cargo space allocation method for warehouse management according to claim 3, characterized in that: The "calculating the distance between the cargo location and the exit to obtain the recommended score for the cargo location distance" specifically includes the following steps: Get the maximum distance of the cargo location farthest from the delivery port; Get the current cargo location distance from the outbound port; The ratio of the difference between the maximum cargo location distance and the current cargo location distance to the maximum cargo location distance is less than 1, and the closer the ratio is to 1, the higher the recommended cargo location distance score is; and / or the method further includes the following steps: After outputting the recommended best cargo location information, update the cargo location utilization rate.

9. A cargo space allocation system for warehouse management, characterized in that: The system implements the cargo space allocation method for warehouse management as described in any one of claims 1 to 8; the system comprises: A first acquisition module, the first acquisition module is used to acquire a cargo storage instruction; A first execution module, the first execution module is used to screen the cargo location type and cargo location status to obtain free cargo location information, wherein the free cargo location information includes free single-depth location information and free multi-depth location information; A second acquisition module, the second acquisition module is used to acquire cargo information; A second execution module, the second execution module is used to calculate the recommended score of the cargo spaces in the free cargo space information according to the cargo information, and take the cargo space with the highest score as the recommended best cargo space; The first output module is used to output the cargo location information of the recommended best cargo location to the outside.

10. An electronic device, characterized in that: include: A computer program, the computer program being used to execute the cargo space allocation method for warehouse management according to any one of claims 1 to 8; A memory, the memory being used to store the computer program; A processor is used to run the computer program.

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