Dynamic stock optimization method under pull-type demand of automobile parts

Abstract

The invention discloses a dynamic stock optimization method under the pull-type demand of automobile parts. The method comprises the following steps: (1) acquiring information of parts required to bematched with different automobile types of automobiles; (2) obtaining the yield and sales volume information of each model of the automobile; (3) obtaining the production and machining time of the part; (4) obtaining the logistics transportation time of a production factory or a purchasing factory arriving at each warehouse, and obtaining the position information and the logistics transportation time between the warehouses; (5) setting different inventory quantity warning values of the warehouses according to different positions of the warehouses, and uniformly recording the inventory quantitywarning values into a database; and (6) putting the parts stored in the warehouses in storage or taking out of storage. According to the invention, the beneficial effects of reasonable warehouse preparation, reduction of finished product inventory and reduction of capital occupation can be achieved on the premise of supply guarantee.

Description

technical field [0001] The invention belongs to the technical field of auto parts stocking, in particular to a dynamic stocking optimization method under the pull demand of auto parts. Background technique [0002] A large number of parts are used in the production of automobiles. Due to different factors such as vehicle models and production quantities, the number and types of parts stored in multiple parts warehouses are also different. The common problem now is that there are often insufficient parts and need to be temporarily produced or mobilized from other warehouses; or there are too many parts in stock, which increases the pressure on capital costs. Contents of the invention [0003] Aiming at the technical problems existing in the prior art, the present invention provides a dynamic stocking optimization method under the pulling demand of auto parts, which can achieve reasonable stocking, reduce finished product stock and reduce capital occupation under the premise...

AI Technical Summary

Problems solved by technology

When the common problem is now, there are often insufficient parts, which need to be temporarily produced or mobilized from other warehouses; or there are too many parts in stock, which increases the pressure on capital costs