System Reliability Evaluation of a Multistate Manufacturing Network

This chapter studies the system reliability as a performance indicator to measure the demand satisfaction of the manufacturing system. Three characteristics are considered in this chapter: (i) multiple production lines in parallel, (ii) multiple reworking actions, and (iii) distinct defect rate of each station.

[1]  Udo Buscher,et al.  Optimizing a production system with rework and equal sized batch shipments , 2007, Comput. Oper. Res..

[2]  Alberto Garcia-Diaz,et al.  Network flow procedures for the analysis of cellular manufacturing systems , 1996 .

[3]  Jingshan Li,et al.  Integration of manufacturing system design and quality management , 2013 .

[4]  Kailash C. Kapur,et al.  Reliability Bounds for Multistate Systems with Multistate Components , 1985, Oper. Res..

[5]  Yi-Kuei Lin,et al.  System reliability of a manufacturing network with reworking action and different failure rates , 2012 .

[6]  Yi-Kuei Lin,et al.  Reliability evaluation for a waste-reduction parallel-line manufacturing system , 2012 .

[7]  C. Alexopoulos.  A note on state-space decomposition methods for analyzing stochastic flow networks , 1995 .

[8]  Chin-Chia Jane,et al.  A Practical Algorithm for Computing Multi-State Two-Terminal Reliability , 2008, IEEE Transactions on Reliability.

[9]  Xue Janan,et al.  On Multistate System Analysis , 1985, IEEE Transactions on Reliability.

[10]  Yi-Kuei Lin,et al.  A Novel Reliability Evaluation Technique for Stochastic-Flow Manufacturing Networks With Multiple Production Lines , 2013, IEEE Transactions on Reliability.

[11]  Dimitris Mourtzis,et al.  Development of methods and tools for the design and operation of manufacturing networks for mass customisation , 2016 .

[12]  Yi-Kuei Lin,et al.  Two-commodity reliability evaluation of a stochastic-flow network with varying capacity weight in terms of minimal paths , 2009, Comput. Oper. Res..

[13]  Yi-Kuei Lin,et al.  Performance evaluation for a footwear manufacturing system with multiple production lines and different station failure rates , 2013 .

[14]  Ruud H. Teunter,et al.  Multi-product economic lot scheduling problem with separate production lines for manufacturing and remanufacturing , 2008, Eur. J. Oper. Res..

[15]  Yi-Kuei Lin,et al.  Reliability evaluation for a manufacturing network with multiple production lines , 2012, Comput. Ind. Eng..

[16]  N. Tchernev,et al.  Model for flexibility evaluation in manufacturing network strategic planning , 2014 .

[17]  V. Madhusudanan Pillai,et al.  An absorbing Markov chain model for production systems with rework and scrapping , 2008, Comput. Ind. Eng..

[18]  Yi-Kuei Lin,et al.  Evaluate the system reliability for a manufacturing network with reworking actions , 2012, Reliab. Eng. Syst. Saf..

[19]  Terje Aven,et al.  Reliability Evaluation of Multistate Systems with Multistate Components , 1985, IEEE Transactions on Reliability.

[20]  John Erik Hershey,et al.  Fast algorithm for computing the reliability of a communication network , 1991 .

[21]  Alain Martel,et al.  A manufacturing network design model based on processor and worker capabilities , 2008 .

[22]  Ovidiu Listes,et al.  A generic stochastic model for supply-and-return network design , 2007, Comput. Oper. Res..

[23]  Hong-chul Lee,et al.  A network flow approach to solve clustering problems in group technology , 1993 .

[24]  Chun-Hsiung Lan.  The design of multiple production lines under deadline constraint , 2007 .

[25]  Hong-Zhong Huang,et al.  An efficient method for reliability evaluation of multistate networks given all minimal path vectors , 2007 .

[26]  Yi-Kuei Lin,et al.  Optimal routing policy of a stochastic-flow network , 2009, Comput. Ind. Eng..

[27]  Hark Hwang,et al.  An optimal operating policy for the production system with rework , 2009, Comput. Ind. Eng..

[28]  Chun-Hsiung Lan,et al.  The maximal profit flow model in designing multiple-production-line system with obtainable resource capacity , 2001 .

[29]  D. R. Fulkerson,et al.  Flows in Networks. , 1964 .