Scrap cost prediction and optimization method and system

Abstract

The invention provides a scrap cost prediction and optimization method and system. The method comprises the following steps: acquiring cost first pass yield of a plurality of products in an optimal process sequence; respectively acquiring unit scrap cost of the plurality of products according to the cost first pass yield and the unit zero scrap cost; according to the different expected demands and unit scrap costs of the plurality of products, obtaining a corresponding expected total scrap cost; and according to the expected total scrap cost, confirming the product of which the production process is to be optimized from the plurality of products. According to the method, the technological process can be evaluated and counted through the cost first pass yield, the first pass yield and the scrap cost are reflected from the perspective of cost, and managers can pay attention to projects with high cost scrap and improve the projects with important points so as to reduce the cost.

Description

technical field [0001] The invention relates to the technical field of production control, in particular to a scrapping cost prediction and optimization method and system. Background technique [0002] In the prior art, the production process of the product is evaluated by the quantity through rate. However, the quantity pass-through rate can only reflect the product pass rate or scrap rate in the process at the quantitative level, and cannot accurately reflect the cost scrap rate of a finished product. It cannot allow managers to focus on improving products with high scrap costs to reduce enterprise costs. ,increase profit. [0003] Therefore, there is an urgent need for a scrapping cost prediction and optimization method and system to solve the above problems. [0004] The above content is only used to assist in understanding the technical solution of the present invention, and does not mean that the above content is admitted as prior art. Contents of the invention ...

AI Technical Summary

Problems solved by technology

However, the quantity pass-through rate can only reflect the product pass rate or scrap rate in the process at the quantitative level, and cannot accurately reflect the cost scrap rate of a finished product. It cannot allow managers to focus on improving products with high scrap costs to reduce enterprise costs. ,increase profit

Images