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Reliability Assessment Methodology for Massive Manufacturing Using Multi-Function Equipment

Author

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  • M. López-Campos
  • F. Kristjanpoller
  • P. Viveros
  • R. Pascual

Abstract

Experience reveals that reliability varies depending on the characteristics of operation. The manufacturing process based on multifunction equipment gives a usual case of variation in operating conditions. This work presents a methodology for the reliability analysis of multifunction processes, using the RCM approach, and a modification of the Universal Generating Function (UGF) under a massive manufacturing context. The result is a characterization of reliability, for each piece of equipment and for the production system. The methodology is applied in a workshop of a textile industry, where there is prior evidence that the failure behavior varies according to the type of function executed by multifunction machines.

Suggested Citation

  • M. López-Campos & F. Kristjanpoller & P. Viveros & R. Pascual, 2018. "Reliability Assessment Methodology for Massive Manufacturing Using Multi-Function Equipment," Complexity, Hindawi, vol. 2018, pages 1-8, February.
    • Handle: RePEc:hin:complx:4084917
    DOI: 10.1155/2018/4084917
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    References listed on IDEAS

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    Cited by:

    1. Xiu-Zhen Xu & Yi-Feng Niu & Qing Li, 2019. "Efficient Enumeration of - Minimal Paths in Reliability Evaluation of Multistate Networks," Complexity, Hindawi, vol. 2019, pages 1-10, March.
    2. Jiangbin Zhao & Zaoyan Zhang & Mengtao Liang & Xiangang Cao & Zhiqiang Cai, 2023. "Start-Up Strategy-Based Resilience Optimization of Onsite Monitoring Systems Containing Multifunctional Sensors," Mathematics, MDPI, vol. 11(19), pages 1-18, September.

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