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CN-122022635-A - Multi-bin linkage automatic cargo allocation system of e-commerce platform and path optimization method

CN122022635ACN 122022635 ACN122022635 ACN 122022635ACN-122022635-A

Abstract

The invention discloses an e-commerce platform multi-bin linkage automatic cargo allocation system and a path optimization method, which relate to the technical field of e-commerce logistics, wherein the system comprises a central dispatching server, a central processing unit and a control unit, wherein the central dispatching server is used for receiving order information and executing cargo allocation decisions; the system comprises a plurality of warehouse management subsystems, a path optimization engine, a real-time data acquisition module, an intelligent decision-making module and a user satisfaction degree, wherein the warehouse management subsystems are respectively arranged at different geographic positions and are responsible for local inventory management and order processing, the path optimization engine is used for generating an optimal distribution path according to order information and real-time environment data, the real-time data acquisition module is used for acquiring real-time data such as inventory data, order data and traffic information of each warehouse, the intelligent decision-making module is used for providing order demand prediction, inventory early warning and exception processing functions based on a deep learning algorithm, the system improves distribution efficiency, can quickly respond to order demands through an intelligent multi-warehouse linkage distribution mechanism, shortens distribution decision-making time, reduces logistics cost and improves distribution time-consuming rate, enhances system robustness, and the multi-warehouse cooperation mechanism improves the fault tolerance of the system, and single warehouse faults do not affect overall distribution service to improve user experience.

Inventors

  • XIAO YI
  • WU XIANGQING

Assignees

  • 东莞市莞云信息科技有限公司

Dates

Publication Date
20260512
Application Date
20260303

Claims (10)

  1. 1. An electronic commerce platform multi-bin linkage automatic cargo allocation system, which is characterized by comprising: The central dispatching server is used for receiving order information and executing a cargo allocation decision; The warehouse management subsystems are respectively deployed in warehouses at different geographic positions and are responsible for local inventory management and order processing; the path optimization engine is used for generating an optimal distribution path according to the order information and the real-time environment data; The real-time data acquisition module is used for acquiring real-time data such as inventory data, order data, traffic information and the like of each warehouse; the intelligent decision module provides order demand prediction, inventory early warning and exception handling functions based on a deep learning algorithm; The central dispatching server is respectively connected with each warehouse management subsystem, the path optimization engine, the real-time data acquisition module and the intelligent decision module to realize unified dispatching and collaborative management.
  2. 2. The system of claim 1, wherein the central scheduling server is of a distributed architecture supporting high concurrency order processing, data communication and instruction issuing via an interface with each warehouse management subsystem.
  3. 3. The system of claim 1, wherein the path optimization engine integrates optimization algorithms such as genetic algorithm, ant colony algorithm, simulated annealing algorithm, and the like, and automatically selects at least one algorithm for path planning according to different distribution scenarios.
  4. 4. The multi-bin linkage automatic goods distribution method for the e-commerce platform is characterized by comprising the following steps of: s1, acquiring inventory data, order data and geographic position information of each warehouse in real time, and constructing a unified inventory information database; S2, calculating the distance from each warehouse to a destination, the expected delivery time and the transportation cost according to the order receiving address; S3, based on a multi-objective optimization algorithm, comprehensively considering factors such as inventory sufficiency, distribution distance, transportation cost, aging requirement and the like, and automatically selecting an optimal delivery warehouse; and S4, generating a cargo allocation instruction, allocating orders to the selected warehouses, and synchronously updating inventory information of each warehouse.
  5. 5. The method of claim 4, wherein the multi-objective optimization algorithm of step S3 calculates a composite score for each candidate warehouse using a weighted summation method, wherein the score indicators include inventory sufficiency, distribution distance, transportation cost, timeliness, and warehouse load capacity.
  6. 6. The method for optimizing the distribution path of the e-commerce platform is characterized by comprising the following steps of: T1, constructing a vehicle path optimization mathematical model containing time window constraint, load constraint and traffic condition constraint; t2, global searching is carried out by adopting a genetic algorithm, and an initial path scheme is generated; T3, locally optimizing by using an ant colony algorithm, and refining path details; And T4, introducing a dynamic adjustment mechanism, and correcting the path in real time according to the real-time traffic information, weather conditions and other factors.
  7. 7. The method of claim 6, wherein the genetic algorithm of step T2 is optimized iteratively by genetic operations such as roulette selection, sequential crossover, crossover variation, etc., using integer encoding.
  8. 8. The method of claim 6, wherein the dynamic adjustment mechanism of step T4 includes real-time traffic information acquisition, path re-planning and time window adjustment functions, and the path re-planning is automatically triggered when severe congestion is detected.
  9. 9. The system of claim 1, wherein the intelligent decision module comprises an order demand prediction model, an inventory pre-warning model, and an exception handling model.
  10. 10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any of claims 4-9.

Description

Multi-bin linkage automatic cargo allocation system of e-commerce platform and path optimization method Technical Field The invention relates to the technical field of electronic commerce logistics, in particular to an electronic commerce platform multi-bin linkage automatic cargo allocation system and a path optimization method. Background With the rapid development of electronic commerce, the order quantity of an electronic commerce platform is increased in geometric grade, and higher requirements are put on logistics distribution efficiency and cost control. At present, a multi-warehouse layout mode is commonly adopted in large-scale electronic commerce enterprises, nearby delivery is realized by setting up warehouses in different areas, delivery time is shortened, and logistics cost is reduced. However, the existing multi-bin dispensing systems have the following technical problems: the distribution decision efficiency is low, the traditional system mainly depends on manual experience or simple rules to select warehouses, an intelligent multi-warehouse collaborative distribution mechanism is lacked, and optimal order distribution among a plurality of warehouses is difficult to realize. The stock information is not shared, an information island is often formed among all warehouses, the stock data cannot be shared and uniformly scheduled in real time, so that partial warehouses are backlogged and other warehouses are out of stock, and the overall goods allocation efficiency is affected. The path optimization algorithm is single, namely the conventional distribution path planning mostly adopts a static algorithm, and cannot respond to dynamic factors such as traffic conditions, weather changes and the like in real time, so that distribution efficiency is low. The traditional system is difficult to simultaneously consider a plurality of targets such as distribution time, transportation cost, service quality and the like, and cannot realize a globally optimal distribution scheme. The real-time cooperative mechanism is lacking, the cooperative scheduling capability among multiple warehouses is limited, and dynamic adjustment and optimization cannot be performed according to the factors such as order distribution, inventory conditions, traffic conditions and the like. Therefore, a system and a method for dynamically optimizing intelligent linked distribution and distribution paths of multiple warehouses are needed to improve the overall efficiency and service quality of the e-commerce logistics. Disclosure of Invention In order to solve the technical problems, the invention provides an e-commerce platform multi-bin linkage automatic cargo allocation system and a path optimization method, wherein the system comprises the following steps: The central dispatching server is used for receiving order information and executing a cargo allocation decision; The warehouse management subsystems are respectively deployed in warehouses at different geographic positions and are responsible for local inventory management and order processing; the path optimization engine is used for generating an optimal distribution path according to the order information and the real-time environment data; The real-time data acquisition module is used for acquiring real-time data such as inventory data, order data, traffic information and the like of each warehouse; the intelligent decision module provides order demand prediction, inventory early warning and exception handling functions based on a deep learning algorithm; The central dispatching server is respectively connected with each warehouse management subsystem, the path optimization engine, the real-time data acquisition module and the intelligent decision module to realize unified dispatching and collaborative management. Preferably, the central dispatching server adopts a distributed architecture, supports high concurrency order processing, and performs data communication and instruction issuing with each warehouse management subsystem through an interface. Preferably, the path optimization engine integrates optimization algorithms such as genetic algorithm, ant colony algorithm, simulated annealing algorithm and the like, and at least one algorithm is automatically selected according to different distribution scenes to carry out path planning. An electronic commerce platform multi-bin linkage automatic cargo allocation method comprises the following steps: s1, acquiring inventory data, order data and geographic position information of each warehouse in real time, and constructing a unified inventory information database; S2, calculating the distance from each warehouse to a destination, the expected delivery time and the transportation cost according to the order receiving address; S3, based on a multi-objective optimization algorithm, comprehensively considering factors such as inventory sufficiency, distribution distance, transportation cost, aging requirement and the like, an