Research on Production Process Parameter Management Based on MES System

Abstract

It is very important to realize the information management of product parameters in the production workshop, which can timely, accurately, clearly and clearly display the real-time parameter data in the production process, and ensure the efficient cooperation of various departments, so as to improve the processing efficiency and product processing quality of the production workshop. In this paper, the MES system of a military machinery manufacturing enterprise is used as the research platform to collect the product process data of the workshop and form the product parameter library of the production process of the workshop, taking the parameter library as the research object, a parameter management mechanism suitable for mechanical manufacturing enterprises is established to carry out efficient parameter management. The parameter management based on MES system consists of quality card management, parameter management, parameter optimization, parameter filling and verification, and parameter analysis. Neural network and other methods are used to optimize the selection of product parameters and analyze the historical product parameters. The application results show that the parameter management mechanism proposed in this paper can realize the effective management of the production process parameters of the manufacturing enterprise workshop, improve the processing efficiency and product quality, and has a certain reference value for the manufacturing enterprise production process parameter management.