Multi-Agent based Production Management Decision System Modelling for the Textile Enterprise

Abstract

To extract useful information from massive production processing data, firstly, production process and business workflow of the textile processing were analyzed, and the complex relationship and high dimensional feature of the stored data were studied. Secondly, a production management structure model based on multi-Agent was proposed by using the Multi-agent technology, relationship model, fuzz C means clustering algorithm (FCM) and expert system. And then, the rationality of the model was introduced, working principle, data computation process and message communication of multiple agents were elaborated, and finally a textile production process management system was designed. As verified by the application, the system the author proposed is superior to the existing textile production management system, and its functions strengthen the interactivity role both the user and the system, meet the requirements of the production management, intelligent decision and personalized service, and realize the heterogeneous integration among the different databases.