A delivery method and system for automatic arrangement, sorting and delivery of goods in a stereoscopic warehouse

Abstract

The application discloses a kind of automatic stereoscopic warehouse row cabinet, cargo, the delivery method and system of warehouse, first acquisition order data, material basic data, row cabinet rule data and container rule data, then according to data, calculate the goods to be row cabinet and row cabinet scheme;Obtain stereoscopic warehouse data, inventory data and warehouse plan, then generate warehouse scheme and cargo handling scheme, finally according to scheme, automatically handle cargo and warehouse.The application can configure programmable algorithm to calculate order row cabinet matching various containers distribution by stereoscopic warehouse, automatically arrange goods evenly to each aisle before delivery, close to the area in front of warehouse near warehouse outlet, solve the problem of poor container utilization and low efficiency of warehouse.

Description

[Technical Field]

[0001] This invention relates to the technical field of logistics and transportation, and in particular to the technical field of automated warehouse delivery. [Background Technology]

[0002] Automated storage and retrieval systems (AS / RS) are basically composed of the following parts:

[0003] High-rise racking: Steel structures used for storing goods. Currently, there are two main types: welded racking and modular racking.

[0004] Pallets (cargo boxes): Equipment used to carry goods, also known as workstation equipment.

[0005] Stacker cranes: Equipment used for automated storage and retrieval of goods. They are classified into two basic types based on their structure: single-column and double-column; and into three basic types based on their service mode: straight-track, curved-track, and transfer vehicle.

[0006] Conveyor system: The main peripheral equipment of an automated warehouse, responsible for transporting goods to or from stacker cranes. There are many types of conveyors, the most common being roller conveyors, chain conveyors, lifting platforms, distribution carts, elevators, belt conveyors, etc.

[0007] AGV system: also known as automated guided vehicle. Based on their guiding method, they are divided into sensor-guided AGVs and laser-guided AGVs.

[0008] Automatic Control System: The automatic control system that drives all equipment in the automated storage and retrieval system. Currently, it mainly uses fieldbus as the control mode.

[0009] Inventory Information Management System: Also known as a Central Computer Management System. It is the core of a fully automated storage and retrieval system (AS / RS). Currently, typical AS / RS systems use large database systems (such as Oracle, Sybase, etc.) to build a typical client / server architecture, which can be networked or integrated with other systems (such as ERP systems).

[0010] When shipping goods from existing automated storage and retrieval systems (AS / RS), most orders are assigned to single-type containers, and shipments are made from various locations within the warehouse, resulting in low outbound efficiency. Furthermore, the container allocation method needs to adapt to changes in business requirements among different companies, increasing development costs and timelines. [Summary of the Invention]

[0011] The purpose of this invention is to solve the problems in the prior art by proposing an automated warehouse method and system for arranging, sorting, and shipping goods, which can solve the problems of disordered outbound shipments, slow loading, and high transportation costs.

[0012] To achieve the above objectives, this invention proposes an automated warehouse method for arranging, sorting, and shipping goods, comprising the following steps:

[0013] A. Obtain order data: Order data includes, but is not limited to, order number, customer, material, quantity, weight, shipping method, and shipping date, which are used to calculate the goods to be placed in containers;

[0014] B. Obtain basic material data: Basic data includes, but is not limited to, material code, name, specifications, packaging quantity, length, width, height, weight, set, orientation, and stacking requirements, which are used to calculate the goods to be arranged in the container;

[0015] C. Obtain cabinet layout rule data: Rule data includes general rules and custom rules, which are used for cabinet layout calculation;

[0016] D. Obtain container rule data: The data includes, but is not limited to, container length, width, height, weight limit, and door opening method, for use in container layout calculation;

[0017] E. Calculate the data of goods to be shipped: Calculate the information of goods to be shipped out based on order data and material basic data;

[0018] F. Calculate the container scheduling plan: Based on the data of the goods to be scheduled, the container scheduling rules, and the container data, calculate the container scheduling plan. The specific steps are as follows:

[0019] F1. Calculate the container allocation of cargo;

[0020] F2. Calculate the arrangement of goods in the container;

[0021] F3. Optimize off-center load;

[0022] F4. Generate loading sequence and 3D loading guide;

[0023] G. Obtain automated warehouse data: used to generate inventory management and outbound plans;

[0024] H. Obtain inventory data: used to generate inventory management and outbound plans;

[0025] I. Obtain Outbound Plan: Used to generate inventory management and outbound plans;

[0026] J. Generate Outbound Plan: Based on the outbound plan, final racking plan, and automated warehouse data, generate an outbound plan. Information such as goods to be outbound, outbound sequence, related order, outbound port, related vehicle, and loading location are used to generate the sorting plan and outbound process.

[0027] K. Generate inventory sorting plan: Used for automatic inventory sorting before shipment;

[0028] L. Automated sorting: According to the sorting plan, the goods are transported to the destination location through a combination of stacker cranes and conveyor lines in multiple aisles of the automated warehouse, thus completing the sorting process;

[0029] M. Outbound: According to the outbound plan, the automated warehouse automatically outbounds goods to the designated outbound port in sequence according to the loading order. Manual personnel or loading robots load the goods into the correct position of the corresponding container according to the generated loading instructions, thus completing the outbound loading.

[0030] Preferably, the general rules configured in step C include: weight limits for different modes of transport; weight limits for different countries; front-to-back and left-to-right weight distribution requirements; stacking requirements (lighter on top, heavier on bottom; smaller on top, larger on bottom; priority based on cargo attributes; set requirements); orientation requirements; placement requirements for special materials; height from front to back of the container from high to low; when loading space utilization is insufficient, the principle of full filling of the first layer should be followed; whether splitting orders is allowed; cargo anti-tipping arrangement; when customizing rules, select the database fields, input the judgment conditions and calculation formulas, and the system will automatically generate code for container layout calculation.

[0031] Preferably, in step E, the information of the goods to be shipped includes quantity, size, and characteristics, and the characteristics include orientation, priority, and stacking restrictions.

[0032] Preferably, step F1 is as follows:

[0033] F11. Select one type of container and calculate the loading density based on the container's volume and load capacity;

[0034] F12. Select the cargo data that is closest to the loading density in the cargo data to be arranged in the container and add it to the container;

[0035] F13. After the container is loaded with goods, the new loading density is calculated based on the remaining loading weight and the remaining loading volume;

[0036] F14. Select the goods from the remaining goods awaiting container allocation that are closest to the new loading density and add them to the container;

[0037] F15. Repeat steps F11-F14 until the container's load capacity or volume reaches a critical value, then stop loading to obtain one type of container loading method;

[0038] F16. Repeat steps F11-F15 until all types of container loading methods are obtained. Compare the loading results and select the container with the best load utilization and space utilization as the final loading method for a container.

[0039] F17. Remove the goods in the containers that determine the final loading method, and treat the remaining goods as goods to be allocated to containers. Repeat steps F11-F16 until all goods are loaded, and finally obtain the container allocation plan for all goods in the order.

[0040] The steps of step F2 are as follows:

[0041] F21. Based on the container allocation plan, select one container and pre-generate a layout according to the container arrangement rules;

[0042] F22. Use the random walk algorithm to iteratively adjust the arrangement until an arrangement that satisfies all the rules is found;

[0043] F23. If no way to satisfy all the rules can be found, try to take out a piece of goods and give it to the next container, and the current container is re-iterated; the taken-out goods and the goods in the remaining containers form the goods to be allocated, and give them to step A to recalculate the container allocation;

[0044] F24. Repeat steps F21-F23 until all containers are processed and a layout of all containers that meets the rules is obtained;

[0045] The F3 steps are as follows:

[0046] F31. Using the simulated annealing algorithm, generate a new arrangement by swapping any n trays;

[0047] F32. Calculate the off-center loads in both the front, back, left, and right directions. If the overall off-center load is better than the previous arrangement, then replace it; otherwise, replace it or not replace it according to the special rules of the simulated annealing algorithm.

[0048] F33. Repeat steps F31-F32 until a layout that meets the off-center load requirements is found;

[0049] The F4 steps are as follows:

[0050] For all containers in the container arrangement results generated by steps F1-F3, generate the loading sequence and three-dimensional loading instructions, and generate the final container arrangement plan;

[0051] If you are not satisfied with the cabinet layout calculated by the system, you can modify it manually.

[0052] Preferably, step K includes the following steps:

[0053] K1. Based on the outbound plan and automated warehouse data, calculate the destination location of the goods to be outbound. The destination location satisfies the requirement of evenly distributing the goods to each aisle, thereby maximizing outbound efficiency.

[0054] K2. Search for the destination storage location. If the goods in the storage location do not match the goods to be shipped, it will be designated as a storage location awaiting processing.

[0055] K3. Select a storage location to be sorted. If the storage location is empty, select an inventory of goods to be shipped and assign it to the storage location, generating a sorting sub-plan. If the storage location is not empty, and the goods are needed by other empty storage locations, assign the goods in the current location to the needy storage location, and simultaneously select an inventory of goods to be shipped and assign it to the storage location, generating a sorting sub-plan. If the storage location is not empty, and none of the other empty storage locations need the goods, assign the goods to another empty storage location, and simultaneously select an inventory of goods to be shipped and assign it to the storage location, generating a sorting sub-plan.

[0056] K4. Repeat step K3 until all pending storage locations have generated sub-plans, then merge the sub-plans to generate one storage plan;

[0057] K5. Repeat steps K3-K4, each time selecting a different item for the storage location in step K3, generating n storage plans;

[0058] K6. The optimal cargo handling plan is generated based on the minimum number of equipment moves and the shortest moving distance as evaluation criteria.

[0059] This invention also proposes an automated warehouse dispatching system for racking, sorting, and outbound operations, including an order acquisition module, a material management module, a cargo calculation module, a racking rule module, a container configuration module, an inventory module, a racking scheme generation module, a sorting module, and an outbound module.

[0060] Preferably, the order acquisition module is used to acquire orders for use by the goods calculation module; the material management module is used to maintain basic material information for use by the goods calculation module; the goods calculation module is used to calculate the attributes of goods to be arranged in containers and generate a goods list; the container arrangement rule module is used to configure and generate container arrangement rules for use by the container arrangement plan generation module; the container configuration module is used to maintain basic container information for use by the container arrangement plan generation module; the inventory module is used to store the automated warehouse inventory information for use by the sorting module; the container arrangement plan generation module is used to generate and output container arrangement plans; the sorting module is used to calculate fast outbound storage locations, generate sorting plans, and schedule equipment to move goods to designated storage locations to complete automatic sorting; the outbound module is used to acquire outbound plans, generate outbound plans, and use the sorting module to generate sorting plans, and schedule equipment to complete outbound delivery according to the outbound plans.

[0061] The beneficial effects of this invention are as follows: This invention utilizes a configurable programmable algorithm in an automated storage and retrieval system (AS / RS) to calculate order placement and match various types of containers. Before shipment, the AS / RS automatically organizes and evenly distributes goods to various aisles and the area near the outbound exit, solving the problems of poor container utilization and low outbound efficiency. This invention first acquires order data, basic material data, placement rule data, and container rule data, then calculates the goods to be placed and the placement plan based on the data. It also acquires AS / RS data, inventory data, and outbound plans, then generates outbound and sorting plans, enabling the selection of the optimal goods allocation method and solving the problems of disorganized outbound operations, slow loading, and high transportation costs in automated storage and retrieval systems.

[0062] The features and advantages of the present invention will be described in detail through embodiments and in conjunction with the accompanying drawings. [Attached Image Description]

[0063] Figure 1 This is a schematic diagram of the automatic delivery process of the present invention;

[0064] Figure 2 This is a schematic diagram of the automated sorting process of the present invention.

Detailed Implementation Methods

[0065] An automated storage and retrieval system (AS / RS) for racking, sorting, and outbound delivery is disclosed. The system includes an order acquisition module, a material management module, a cargo calculation module, a racking rule module, a container configuration module, an inventory module, a racking scheme generation module, a sorting module, and an outbound delivery module, wherein:

[0066] The order acquisition module is used to acquire orders for use by the goods calculation module;

[0067] The material management module is used to maintain basic material information for use by the cargo calculation module;

[0068] The cargo calculation module is used to calculate the cargo attributes to be arranged in the cabinet and generate a cargo list;

[0069] The cabinet arrangement rule module is used to configure and generate cabinet arrangement rules for use by the cabinet arrangement scheme generation module;

[0070] The container configuration module is used to maintain basic container information for use by the container layout scheme generation module;

[0071] The associated inventory module is used to store automated warehouse inventory information for use by the sorting module.

[0072] The cabinet layout scheme generation module is used to generate and output cabinet layout schemes;

[0073] The sorting module is used to calculate the fast outbound storage location, generate a sorting plan, and schedule equipment to move the goods to the designated storage location to complete the automatic sorting.

[0074] The outbound module is used to obtain outbound plans, generate outbound schemes, provide sorting modules with sorting schemes, and schedule equipment to complete outbound shipments according to the outbound schemes.

[0075] See Figure 1 , Figure 2 This invention provides an automated warehouse method for arranging, sorting, and shipping goods, comprising the following steps:

[0076] S1: Obtain order data. Order data can be obtained through the WMS system or by synchronizing from a higher-level system (such as MES system or SAP system). The data includes, but is not limited to, attributes such as order number, customer, material, quantity, weight, shipping method, and shipping date.

[0077] S2: Obtain basic material data, which can be maintained through WMS or synchronized from a higher-level system (such as MES system, SAP system);

[0078] S3: Obtain cabinet arrangement rule data, which can be maintained through the WMS system;

[0079] S4: Obtain container data, which can be maintained through the WMS system;

[0080] S5: Based on the order data in S1 and the material data in S2, calculate the quantity, size, characteristics (orientation, priority, stacking restrictions) and other attributes of all outbound goods to obtain the data of goods to be arranged in the container;

[0081] S6: Based on the container data in S4, select one container of one type and calculate the loading density based on the container's volume and load capacity.

[0082] S7: Select the cargo from the cargo to be arranged in the container that is closest to the loading density calculated in S6, and add it to the container;

[0083] S8: After the container is loaded with goods, the new loading density is calculated based on the remaining loading weight and the remaining loading volume;

[0084] S9: Select the cargo that is closest to the loading density calculated in S8 from the remaining cargo waiting to be loaded in S7, and add it to the container.

[0085] S10: Repeat steps S8-S9 until the container's load capacity or volume reaches a critical value, then stop loading to obtain one type of container loading method;

[0086] S11: Repeat steps S6-S10 until all types of container loading methods are obtained. Compare the loading results and select the container with the best load utilization and space utilization as the final loading method for a container.

[0087] S12: Remove the goods in the containers that determine the final loading method, and treat the remaining goods as goods to be allocated to containers. Repeat steps S6-S11 until all goods are loaded, and finally obtain the container allocation plan for all goods in order S1.

[0088] S13: Based on the container allocation scheme obtained in S12, select one of the containers and pre-generate an arrangement method according to the rules in S2;

[0089] S14: Use the random walk algorithm to iteratively adjust the arrangement in S13 until a arrangement that satisfies all the rules is found, then proceed to S15. If no arrangement that satisfies all the rules is found, proceed to S16.

[0090] S15: Repeat S13-S14 until all containers are completed and the arrangement of all containers is obtained, then proceed to S17.

[0091] S16: Attempt to remove one item from the container and allocate it to the next container. The current container is then iterated again. The removed item and the remaining items in the container form the cargo to be allocated. Repeat S6-S12 to obtain a recalculated container allocation scheme, and then proceed to S13.

[0092] S17: For all containers obtained in S15, use the simulated annealing algorithm to perform off-center load optimization and obtain the final arrangement of all containers.

[0093] S18: For all containers in S17, generate loading sequence and 3D loading guide for each container, and generate the final container arrangement plan.

[0094] S19: Acquire data on automated warehouses, including aisles, stacker cranes, conveyor lines, and exit points;

[0095] S20: Obtain inventory data;

[0096] S21: Obtain the outbound plan, which can be automatically generated based on the order time or manually selected;

[0097] S22: Generate an outbound plan based on the outbound plan in S21 and the container arrangement plan in S18. The outbound plan includes information such as the goods to be outbound, outbound sequence, related order, outbound port, related vehicle, and loading location.

[0098] S23: Based on the outbound plan in S22 and the automated warehouse data in S19, generate the destination location for the goods to be outbound. The destination location ensures that the goods are evenly distributed to each aisle, thereby maximizing outbound efficiency.

[0099] S24: Based on the inventory data in S20, query the destination location in S24 where the current goods and the goods to be shipped are inconsistent, and designate it as the pending sorting location;

[0100] S25: Select a pending storage location and mark it as Target1. Find the current inventory of the goods to be moved from Target1. Select an inventory and mark it as Catch1-1. If Target1 is empty, move Catch1-1 to Target1 as the storage plan Plan1-1 for Target1. If Target1 is not empty, check if the goods in Target1 are needed by other empty pending storage locations. If not, move the goods in Target1 to another storage location and move Catch1-1 to Target1 as the storage plan Plan1-1 for Target1. If they are needed, move the goods in Target1 to another pending storage location and move Catch1-1 to Target1 as the storage plan Plan1-1 for Target1.

[0101] S26: Repeat S25 to obtain the sorting plans Plan1-1 to Plan1-N for all pending sorting locations;

[0102] S27: Repeat S25-S26 to obtain different stacking plans for all pending stacking locations [Plan1-1~Plan1-N]^[PlanX-1~PlanX-N];

[0103] S28: Based on the different inventory management plans obtained in S27, the optimal inventory management plan is obtained by taking the fewest number of equipment moves and the shortest movement distance as evaluation items;

[0104] S29: Based on the optimal sorting plan in S28, the goods are moved to the destination location through a combination of stacker cranes and conveyor lines in the automated warehouse, thus completing the sorting process;

[0105] S30: Real-time monitoring of the S22 outbound plan. The automated warehouse automatically outbounds goods to the designated outbound port according to the loading sequence. Manual labor or loading robots are used to load the goods into the correct position of the corresponding container according to the loading instructions generated by S18, thus completing the container loading.

[0106] The above embodiments are illustrative of the present invention and are not intended to limit the present invention. Any simple modifications to the present invention are within the scope of protection of the present invention.

Claims

1. A method for automated storage and retrieval system (AS / RS) inventory management, sorting, and outbound delivery, characterized in that: Includes the following steps: A. Obtain order data: Order data includes, but is not limited to, order number, customer, material, quantity, weight, shipping method, and shipping date, which are used to calculate the goods to be placed in containers; B. Obtain basic material data: Basic data includes, but is not limited to, material code, name, specifications, packaging quantity, length, width, height, weight, set, orientation, and stacking requirements, which are used to calculate the goods to be arranged in the container; C. Obtain cabinet layout rule data: Rule data includes general rules and custom rules, which are used for cabinet layout calculation; D. Obtain container rule data: The data includes, but is not limited to, container length, width, height, weight limit, and door opening method, for use in container layout calculation; E. Calculate the data of goods to be shipped: Calculate the information of goods to be shipped out based on order data and material basic data; F. Calculate the container scheduling plan: Based on the data of the goods to be scheduled, the container scheduling rules, and the container data, calculate the container scheduling plan. The specific steps are as follows: F1. Calculate the container allocation of cargo; F2. Calculate the arrangement of goods in the container; F3. Optimize off-center load; F4. Generate loading sequence and 3D loading guide; The steps of step F1 are as follows: F11. Select one type of container and calculate the loading density based on the container's volume and load capacity; F12. Select the cargo with the closest loading density from the cargo data to be placed in the container and add it to the container; F13. After the container is loaded with goods, the new loading density is calculated based on the remaining loading weight and remaining loading volume; F14. Select the cargo from the remaining cargo awaiting container allocation that is closest to the new loading density and add it to the container; F15. Repeat steps F11-F14 until the container's load capacity or volume reaches a critical value, then stop loading to obtain one type of container loading method; F16. Repeat steps F11-F15 until all types of container loading methods are obtained. Compare the loading results and select the container with the best load utilization and space utilization as the final loading method for a container. F17. Remove the cargo in the containers that determine the final loading method, and treat the remaining cargo as cargo to be allocated to containers. Repeat steps F11-F16 until all cargo is loaded, and finally obtain the container allocation plan for all cargo in the order. The steps of step F2 are as follows: F21. Based on the container allocation plan, select one container and pre-generate a layout according to the container arrangement rules; F22. Use the random walk algorithm to iteratively adjust the arrangement until an arrangement that satisfies all the rules is found; F23. If no way to satisfy all the rules can be found, try to take out a piece of goods and give it to the next container, and the current container is re-iterated; the taken-out goods and the goods in the remaining containers form the goods to be allocated, and give them to step A to recalculate the container allocation; F24. Repeat steps F21-F23 until all containers are processed and a layout of all containers that meets the rules is obtained; The F3 steps are as follows: F31. Using the simulated annealing algorithm, generate a new arrangement by swapping any n trays; F32. Calculate the off-center loads in both the front, back, left, and right directions. If the overall off-center load is better than the previous arrangement, then replace it; otherwise, replace it or not replace it according to the special rules of the simulated annealing algorithm. F33. Repeat steps F31-F32 until a layout that meets the off-center load requirements is found; The F4 steps are as follows: For all containers in the container arrangement results generated by steps F1-F3, generate the loading sequence and three-dimensional loading instructions, and generate the final container arrangement plan; If you are not satisfied with the cabinet layout calculated by the system, you can modify it manually; G. Obtain automated warehouse data: used to generate inventory management and outbound plans; H. Obtain inventory data: used to generate inventory management and outbound plans; I. Obtain Outbound Plan: Used to generate inventory management and outbound plans; J. Generate Outbound Plan: Based on the outbound plan, final racking plan, and automated warehouse data, generate an outbound plan. Information such as goods to be outbound, outbound sequence, related order, outbound port, related vehicle, and loading location are used to generate the sorting plan and outbound process. K. Generate inventory sorting plan: Used for automatic inventory sorting before shipment; L. Automated sorting: According to the sorting plan, the goods are transported to the destination location through a combination of stacker cranes and conveyor lines in multiple aisles of the automated warehouse, thus completing the sorting process; M. Outbound: According to the outbound plan, the automated warehouse automatically outbounds goods to the designated outbound port in sequence according to the loading order. Manual personnel or loading robots load the goods into the correct position of the corresponding container according to the generated loading instructions, thus completing the outbound loading.

2. The automated warehouse arrangement, sorting, and outbound delivery method as described in claim 1, characterized in that: In step C, the configured general rules include: weight limits for different modes of transport; weight limits for different countries; front-to-back and left-to-right weight distribution requirements; stacking requirements; orientation requirements; special material placement requirements; height from front to back of the container from high to low; when loading space utilization is insufficient, the first layer should be filled first; whether splitting orders is allowed; cargo anti-tipping arrangement; when defining custom rules, select the database fields, input the judgment conditions and calculation formulas, and the system will automatically generate code for container layout calculation.

3. The automated warehouse arrangement, sorting, and outbound delivery method as described in claim 1, characterized in that: In step E, the information on the goods to be shipped includes quantity, size, and characteristics, and the characteristics include orientation, priority, and stacking restrictions.

4. The automated warehouse arrangement, sorting, and outbound delivery method as described in claim 1, characterized in that: Step K includes the following steps: K1. Based on the outbound plan and automated warehouse data, calculate the destination location of the goods to be outbound. The destination location satisfies the requirement of evenly distributing the goods to each aisle, thereby maximizing outbound efficiency. K2. Search for the destination storage location. If the goods in the storage location do not match the goods to be shipped, it will be designated as a storage location awaiting processing. K3. Select a storage location to be sorted. If the storage location is empty, select an inventory of goods to be shipped and assign it to the storage location, generating a sorting sub-plan. If the storage location is not empty, and the goods are needed by other empty storage locations, assign the goods in the current location to the needy storage location, and simultaneously select an inventory of goods to be shipped and assign it to the storage location, generating a sorting sub-plan. If the storage location is not empty, and none of the other empty storage locations need the goods, assign the goods to another empty storage location, and simultaneously select an inventory of goods to be shipped and assign it to the storage location, generating a sorting sub-plan. K4. Repeat step K3 until all pending storage locations have generated sub-plans, then merge the sub-plans to generate one storage plan; K5. Repeat steps K3-K4, each time selecting a different item for the storage location in step K3, generating n storage plans; K6. The optimal cargo handling plan is generated based on the minimum number of equipment moves and the shortest moving distance as evaluation criteria.

5. A shipping system for implementing the shipping method of automated storage and retrieval system (AS / RS) for racking, sorting, and outbound operations as described in any one of claims 1 to 4, characterized in that: It includes modules for order acquisition, material management, cargo calculation, container arrangement rules, container configuration, inventory, container arrangement plan generation, sorting, and outbound delivery.

6. The delivery system as described in claim 5, characterized in that: The order acquisition module is used to acquire orders for use by the cargo calculation module; the material management module is used to maintain basic material information for use by the cargo calculation module; the cargo calculation module is used to calculate the attributes of cargo to be arranged in containers and generate a cargo list; the container arrangement rule module is used to configure and generate container arrangement rules for use by the container arrangement scheme generation module; the container configuration module is used to maintain basic container information for use by the container arrangement scheme generation module. The associated inventory module is used to store the automated warehouse inventory information for use by the sorting module; the cabinet arrangement generation module is used to generate and output cabinet arrangement plans. The sorting module is used to calculate the fast outbound storage location, generate a sorting plan, and schedule equipment to move the goods to the designated storage location to complete automatic sorting. The outbound module is used to obtain the outbound plan, generate an outbound plan, and provide the sorting module with the sorting plan to generate a sorting plan. Based on the outbound plan, the module schedules equipment to complete the outbound shipment.

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