Warehouse and storage integrated intelligent management system based on artificial intelligence and management method

Abstract

The invention discloses a warehouse and storage integrated intelligent management system based on artificial intelligence and a management method. The system comprises a furniture order parameter acquisition module, a furniture order standard assembly duration statistics module, a furniture order standard assembly mode determination module, a furniture order assembly matching analysis module, an assembly part type statistics module, an assembly part replenishment parameter acquisition module, an assembly part replenishment sequence matching analysis module, a management database, a management cloud platform and an early warning processing terminal. By respectively counting a furniture order assembly matching precision coefficient and an assembly part replenishment sequence matching precision coefficient in a set time period, a comprehensive operation management precision coefficient of the furniture storage in the set time period is evaluated by combining the furniture order assembly matching precision coefficient and the assembly part replenishment sequence matching precision coefficient, so that comprehensive integrated operation management of the assembly furniture storage is realized, and the assembly furniture storage management precision is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of warehouse storage management, and in particular relates to an artificial intelligence-based integrated intelligent management system and management method for warehouse storage. Background technique [0002] With the rapid development of society, people pay more and more attention to interior space. As one of the important elements of interior furnishings, furniture plays an important role in the interior environment. As the height rises, the furniture modular design concept was born. Furniture modular design refers to detachable and assembleable furniture, which can realize the convenience of furniture portability and relocation. In this case, it has driven the development of assembled furniture manufacturing enterprises. [0003] Since the furniture manufactured by the assembled furniture manufacturing enterprise can be disassembled and assembled, the warehouse of the assembled furniture manufacturing ...

AI Technical Summary

Problems solved by technology

[0004] 1. Ignore the precise assembly management of furniture orders. Generally, when placing an order for furniture, there is a certain interval between the time of placing the order and the agreed delivery time, which is recorded as the standard assembly time. The actual assembly of the furniture ordered If the assembly time is longer than the standard assembly time, the delivery will be delayed. The actual assembly time of the next furniture order is less than the standard assembly time. When the assembly is completed, the agreed delivery time has not yet arrived. At this time, the assembled furniture needs to be temporarily stored in the In the warehouse, this will occupy inventory and increase inventory management costs. It can be seen that the more accurate the actual assembly time and standard assembly time of furniture orders are controlled, the more inventory management costs can be reduced.

[0005] 2. The precise management of the replenishment of furniture assembly parts is simply to determine the replenishment priority of assembly parts based on the warning inventory of assembly parts, without considering the consumption rate of assembly parts and the impact of replenishment cycle on replenishment priority, which is easy As a result, some assembly parts are not prioritized for replenishment when they are urgently needed, resulting in insufficient inventory, which seriously affects the normal order delivery efficiency of furniture

[0006] To sum up, it can be seen that the current warehouse management of assembled furniture manufacturing enterprises is too simple and has not formed an integrated management model, resulting in low warehouse management accuracy. Operational management efficiency of single delivery

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