Store management optimization method

Abstract

The invention discloses a store management optimization method. The store management optimization method comprises the steps of: optimizing the physical environment of cargoes and logistics at first, then, logically optimizing optimized information according to requirements of customers, and finally, making store information into a report to perform report optimization, wherein the physical environment optimization content includes cargo management and SKU logistics management; the logic optimization content includes distribution strategy optimization, automatic selection of an optimal task wave order and SKU forewarning management; and the report optimization content includes an inventory report and a store density table. The invention provides the store management optimization method, which integrates cargo allocation, distribution and loading strategy, transport capacity resource, logistics network and task wave order logistics management optimization algorithms into a whole, and can realize seamless joint with a logistics supply chain information system.

Description

technical field [0001] It relates to the field of intelligent logistics system, especially an intelligent warehouse management method. Background technique [0002] SKU=Stock Keeping Unit (stock keeping unit). That is, the basic unit of inventory in and out measurement, which can be in units of pieces, boxes, pallets, etc. SKU This is a necessary method for logistics management of DC (distribution center) of large supermarket chains. Now it has been extended to the abbreviation of product unified number, and each product corresponds to a unique SKU number. [0003] At present, 80% of the distribution centers or warehouses cannot optimize the correct location; the main reason is that the system is difficult to extract data and the method of processing this data, that is, the lack of or insufficient use of enterprise basic data, the enterprise information system cannot support, There is no correct optimization software and method. Aiming at the actual needs of modern logis...

AI Technical Summary

Problems solved by technology

[0003] At present, 80% of the distribution centers or warehouses cannot optimize the correct location; the main reason is that the system is difficult to extract data and the method of processing this data, that is, the lack of or insufficient use of enterprise basic data, the enterprise information system cannot support, There is no correct optimization software and method

Aiming at the actual needs of modern logistics management; the market needs to develop a series of logistics management optimization algorithms that integrate cargo locations, stowage strategies, capacity resources, logistics networks, and task waves, and can successfully achieve seamless integration with logistics supply chain information systems. The intelligent warehouse management method of seam docking; Prior art has not solved such problem yet

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