Multi-state reliability modeling and analysis of reconfigurable manufacturing systems

被引：3
|
作者：
Duan J. [1 ]
Li A. [1 ]
Xie N. [2 ]
Xu L. [1 ]
机构：
[1] Institute of Advanced Manufacturing Technology, Tongji University
[2] Sino-German College of Applied Sciences, Tongji University
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2011年 / 47卷 / 17期
关键词：
Multi-state system reliability; Reconfigurable manufacturing system; Universal generating function;
D O I：
10.3901/JME.2011.17.104
中图分类号：
学科分类号：
摘要：
To solve the problem that there is combination problem when multi-state system reliability model is formulated by traditional methods, the multi-state reliability model of Reconfigurable manufacturing system (RMS) is built based on the stochastic process and the universal generating function (UGF) technique. In order to get all the steady-state probability, the Markov process model of reconfigurable machine tool (RMT) with the characteristic of non-adjacent state transition is established. Through defining the buffer states and analysing the influence of buffer states on the machine availability, both the buffer availability and the actual steady-state probability are obtained. According to the characteristics of RMS and RMT, UGF technique is perfected, and by which generating functions of machine level and system level are expressed followed by the establishment of multi-state reliability model of repairable RMS for multi-parts family. Furthermore, the performance indexes of RMS are also discussed. A parallel-serial hybrid machining system with four stages for double-parts family composed of cylinder heads is taken as an example to verify the effectiveness of the model and the validity of the analysis method. © 2011 Journal of Mechanical Engineering.
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页码：104 / 111
页数：7
相关论文
共 11 条
  • [1] Koren Y., Heisel U., Jovane F., Et al., Reconfigurable manufacturing systems, Annals of the CIRP, 48, 2, pp. 527-540, (1999)
  • [2] Landers R., Min B.K., Koren Y., Reconfigurable machine tools, Annals of the CIRP, 50, 1, pp. 269-274, (2001)
  • [3] Zhang J., Xie L., Li B., Et al., Reliability analysis of non-series manufacturing systems based on petri nets, Journal of Mechanical Engineering, 45, 12, pp. 95-101, (2009)
  • [4] Jiang Z., He J., Stochastic object-oriented Petri nets (SOPNS) and its application in modeling of manufacturing of system reliability, Chinese Journal of Mechanical Engineering, 16, 3, pp. 272-276, (2003)
  • [5] Gao Z., Sun H., Wu Q., Reliability analysis of the manufacturing system based on GO methodology, Mechanical Science and Technology, 26, 3, pp. 320-323, (2007)
  • [6] Sun J., Xi L., Du S., Et al., Reliability modeling and analysis of serial-parallel hybrid multi-operational manufacturing system considering dimensional quality, tool degradation and system configuration, International Journal of Production Economics, 114, pp. 149-164, (2008)
  • [7] Youssef A.M.A., Mohib A., Elmaraghy H.A., Availability assessment of multi-state manufacturing systems using universal generating function, Annals of the CIRP, 55, 1, pp. 445-448, (2006)
  • [8] Zhou J., Xie L., Common cause failure mechanism and risk probability quantitative estimation of multi-state systems, Chinese Journal of Mechanical Engineering, 44, 10, pp. 77-82, (2008)
  • [9] Li C., Chen X., Yi X., Reliability analysis of electromechanical systems with degraded components containing multiple performance parameters, Chinese Journal of Mechanical Engineering, 23, 4, pp. 511-516, (2010)
  • [10] Youssef A.M.A., Elmaraghy H.A., Performance analysis of manufacturing systems composed of modular machines using the universal generating function, Journal of Manufacturing Systems, 27, pp. 55-69, (2008)
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