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

Abstract

The invention discloses an artificial intelligence-based integrated intelligent management system and management method for warehouse storage. The system includes a furniture order parameter acquisition module, a furniture order standard assembly duration statistics module, a furniture order standard assembly mode determination module, and a furniture order assembly matching analysis module. module, assembly parts category statistics module, assembly parts replenishment parameter collection module, assembly parts replenishment sequence matching analysis module, management database, management cloud platform and early warning processing terminal, through the furniture order assembly and matching within the set time period, the accuracy Coefficients and assembly parts replenishment sequence matching precision coefficient statistics, and then combined with furniture order assembly matching precision coefficient and assembly parts replenishment sequence matching precision coefficient to evaluate the comprehensive operation management precision coefficient of furniture storage within a set time period, realizing the assembly of furniture The comprehensive and integrated operation and management of warehousing has effectively improved the accuracy of warehousing management of assembled furniture.

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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