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Assessment of machine tool reliability using a proportional hazards model

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  • Thomas A. Mazzuchi
  • Refik Soyer

Abstract

In this article we present a proportional hazards model for describing machine tool failures. The model enables us to describe the effect of aging as well as the effect of the machining environment on tool life. We discuss inference for the model and show that computable results can be obtained in a fully Bayesian analysis by using approximation techniques. We illustrate the usefulness of our model by applying it to some actual data on machine tool failures.

Suggested Citation

  • Thomas A. Mazzuchi & Refik Soyer, 1989. "Assessment of machine tool reliability using a proportional hazards model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(6), pages 765-777, December.
    • Handle: RePEc:wly:navres:v:36:y:1989:i:6:p:765-777
    DOI: 10.1002/1520-6750(198912)36:63.0.CO;2-C
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    Cited by:

    1. Jeffrey Kharoufeh & Steven Cox & Mark Oxley, 2013. "Reliability of manufacturing equipment in complex environments," Annals of Operations Research, Springer, vol. 209(1), pages 231-254, October.
    2. Insua, David Rios & Ruggeri, Fabrizio & Soyer, Refik & Wilson, Simon, 2020. "Advances in Bayesian decision making in reliability," European Journal of Operational Research, Elsevier, vol. 282(1), pages 1-18.
    3. Neves-Moreira, Fábio & Veldman, Jasper & Teunter, Ruud H., 2021. "Service operation vessels for offshore wind farm maintenance: Optimal stock levels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    4. 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.
    5. Patrick H. Liu, 2000. "A comparative study of three tool replacement/operation sequencing strategies in a flexible manufacturing system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(6), pages 479-499, September.

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