Research On Coordination Evaluation And Adjusting & Control Method Of Manufacturing System

The current competition among manufacturing enterprises has evolved into a competitive of manufacturing system performance. To improve the competitive advangtage of the enterprises, it is needed to analyze manufacturing system performance, identify and target the weaknesses, so as to gain more achievements through little efforts.Manufacturing system is a complete manufacturing process and a organic combination of numerous aspects. To adapt the changing environment, the enterprise must analyze and evaluate the performance of the manufacturing system as a whole, and find the nature origin and cause, adjust and control the construction and key factors to realize the overall optimization, and consequently control the manufacturing system on the healthy evolution.But the overall optimization of manufacturing systems is very difficult due to the complexity of manufacturing system in which there exists mickle interaction and ambiguous interrelationships. To these problems, this paper analyzed the current problems in manufacturing system evaluate, presented a manufacturing system coordination evaluation model based on system engineering, including target coordination, structural coordination and operating coordination, and proposed the quantitative method. A case study detailed the application of these principles to a particular organization.To describe the internal structure and functional features of the system behavior and analyze the relationship between the output and these features, the Bayesian network modeling of manufacturing systems was established, the interaction among system elements was analyzed to guide manufacturing system control.Based on interaction and interdiscipline among system elements, system control must be practical, manufacturing system control method is proposed that integrated Case-Based Reasoning, Genetic Algorithms and Bayes networks. An example was presented that verified the proposed control method was effective and feasible.To support system adjusting and controlling and to measure the quantitative impact of possible changes in a production operation process, a computer-aided simulation modeling technique based on multi-Agent system was proposed. This paper presented a case study on applying the simulation technique to analyze and adjust a production operation process in the manufacturing industry.The potential utility of the simulation technique for supporting a production operation controlling and planning was discussed and validated.