Research And Application For Product Plan Of Discrete Manufacturing Industry

The concept of "made in China 2025" was put forward for the first time in government work report, which Initiates an intelligent way to transform the production system and process. Based on the purpose, the paper researches and analyzes how to combine intelligent algorithms and the prediction of discrete manufacturing production time. And the paper judgments accuracy by intelligent algorithms to predict the results of the factory, provide the basis for the plant forecast, reduce plant resources, and promote the construction of "intelligent chemical plant" construction.The main topics areas follows:(1) The paper summarizes the survey about the discrete manufacturing industry production plan forecast research of the current domestic and foreign scholars, expounds related technology and methods of the model’s establishing, and analyzes the problems in the existed model.(2) The paper introduces the information and current parts production process of the one discrete manufacturing company, anaryzes the current prediction method of the company, and points out the existed problems. At last it raises the subject of using intelligent theories to solve production time prediction rely on non-empirical intelligent theory.(3) Focuses on the genetic algorithm and SVM algorithm, neighborhood rough sets, optimize the SVM algorithm with genetic algorithm, use neighborhood rough sets to reduce attribute of production data, come up with the production time prediction model based on neighborhood rough sets and GA-SVM algorithm of.(4) The paper based on 6 years’real workshop data of the one the discrete manufacturing company, plants data modeling with the combination of GA-SVM and neighborhood rough sets intelligent algorithm to solve the problem that the rationality of the planning time prediction in plant production can not be judged.