Study On Methods Of Reconfigurable Manufacturing System Modeling Based On Fluid Dynamic Analogy

In the new economy, manufacturing companies increasingly require better performance from their manufacturing systems. Performance demands include quality, reliability, flexibility to implement frequent product introductions and updates, shorter delivery lead times, and lower inventory levels.As companies have improved their performance, decreased product development and life cycles has reduced the time available to develop manufacturing systems. Furthermore, global competition has forced manufacturing systems to reliably produce products at varying production rates dependent on the products'instantaneous demand. As a result , manufacturing systems designers need effective new tools and methods to aid in the development of manufacturing systems.RMS can provide exactly the capacity and functionality needed, exactly when needed. The complex nature of RMS and the need of a reconfiguration policy requires the development of a model to assist manufacturing engineers to implement the optimum reconfiguration policy. A fluid dynamic system analogy for RMS, using a control–theoretic of RMS such as reconfiguration and its relationship to scheduling are demonstrated using this analogy. This analogy is the basis for a dynamic and the production scheduling of an RMS. And extending of this analogy can create question as Complexity.This paper is part of National deference scientific research fund item—《Investigation of Reconfigurable Manufacturing Systems》which was assumed by fansen Kong professor. The direction of question for discussion of this paper is《Modeling Investigations of Reconfigurable Manufacturing and Explore of its Complexity》. Investigations towards RMS have so many directions , including Productivity of RMS; Reliability of RMS; Principium of design of RMS---and so on, but Modeling and Complexity Investigations were put into emphases.The main content of this paper as follow:①Exordium. We depict the background,development history,detailed character of RMS. Then we give definition of RMS from different angles. On the basis of literature read both domestic and overseas, we analyze the actuality of RMS through macroscopical investigations of RMS,modeling of RMS,investigations of Complexity these three ways. At last we put forward the main content of this paper as well as methods we taken.②Modeling methods of RMS. Firstly we discuss manufacturing system and its activity,performance,manufacturing-pattern. Then we do series of work as brief introduction,contrast,analyze the advantages and disadvantages coming towards :RMS modeling based on Petri-nets,RMS modeling based on queue network,RMS modeling based on Agent technique,fluid dynamic system analogy for RMS.③Investigation of fluid dynamic system analogy and its application of project. This chapter roundly introduce the fluid dynamic system and problem of its parameter, using industrial engineering and control engineering theory as well as some other related knowledge gradually consummate the simple fluid dynamic analogy model firstly we bring forward. Then we put forward different kinds of fluid dynamic analogy models which can be used into diverse circumstances. We combine the theory of fluid dynamic analogy model and product practicality ,using different models into reconfiguration of gear-box'shell flexible produce line. On the basis of transfer functions we calculated , using matlab tool we protract the intact emulational curve which can be used as guidance and reference for reconfiguration of product line. At last , according to switched model theory and fluid dynamic model,production line configuration theory , we bring forward the reconfigurable complex multi-models fluid dynamic system.④Investigation of Complexity towards the manufacturing system. According to the demand of modeling of manufacturing system, using the relation between comparability and complexity we do the first step towards the complexity. Then we contrapose the plus coefficient K and give the boundary of its value, and if we choose the coefficient not beyond the boundary, we can improve the reliability of RMS. At last ,we explore the complexity from systematic view and dynamic layout view of operation research. ⑤Sum up. Summarize the whole paper'work we have done , and prospect the future of RMS.