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Reliability modeling and analysis of serial-parallel hybrid multi-operational manufacturing system considering dimensional quality, tool degradation and system configuration

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Listed:
  • Sun, Ji-wen
  • Xi, Li-feng
  • Du, Shi-chang
  • Ju, Bo

Abstract

Machine configuration selection has a great impact on the system-level reliability of a manufacturing system, while the absence of proper consideration of the product quality and the tool degradation on tool failure when determining the machine-level reliability is likely to result in unanticipated machine downtimes or inappropriate maintenance decisions. A generic methodology is thus developed to incorporate both the machine-level and the system-level reliability analyses. Firstly, the machine-level reliability is investigated based on the product dimensional quality and the tool degradation. A novel machine-level quality reliability-integrated model is developed to address the interaction between product quality and tool reliability. The developed machine-level reliability model is then used to estimate the system-level reliability for a manufacturing system with selected configurations. Various hybrid configurations of the multi-operational manufacturing system are investigated in terms of the system-level reliability. The analytical procedure and the effectiveness of the proposed methodology are demonstrated through an example of a serial-parallel hybrid system for cylinder head gasket machining.

Suggested Citation

  • Sun, Ji-wen & Xi, Li-feng & Du, Shi-chang & Ju, Bo, 2008. "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, Elsevier, vol. 114(1), pages 149-164, July.
    • Handle: RePEc:eee:proeco:v:114:y:2008:i:1:p:149-164
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    References listed on IDEAS

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    1. Makis, Viliam, 1999. "Optimal control policy for a tool-wear process subject to shocks and random failures," International Journal of Production Economics, Elsevier, vol. 60(1), pages 613-621, April.
    2. Makis, V., 1995. "Optimal replacement of a tool subject to random failure," International Journal of Production Economics, Elsevier, vol. 41(1-3), pages 249-256, October.
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    Cited by:

    1. Ye, Zhenggeng & Cai, Zhiqiang & Zhou, Fuli & Zhao, Jiangbin & Zhang, Pan, 2019. "Reliability analysis for series manufacturing system with imperfect inspection considering the interaction between quality and degradation," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 345-356.
    2. Xia, Tangbin & Xi, Lifeng & Zhou, Xiaojun & Lee, Jay, 2012. "Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology," European Journal of Operational Research, Elsevier, vol. 221(1), pages 231-240.
    3. Ding Zhang & Yingjie Zhang & Mingrang Yu & Yun Chen, 2017. "Reliability evaluation and component importance measure for manufacturing systems based on failure losses," Journal of Intelligent Manufacturing, Springer, vol. 28(8), pages 1859-1869, December.

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