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Modelling quality in replacement and inspection maintenance

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  • Scarf, Philip A.
  • Cavalcante, Cristiano A.V.

Abstract

Heterogeneity in component and maintenance quality is considered in the context of age-based inspection and replacement for a single component system. A three-state component failure model is assumed, with a defective state preceding the failed state. Heterogeneity in maintenance intervention is modelled by supposing that inspections may induce the defective state. Component heterogeneity is modelled by supposing that the population of components comprises a mixture of the weak and strong, and that the mixing proportion and cost of components vary between suppliers. Within this framework, the impact, on system reliability and cost, of switching component or maintenance supplier is determined. Broadly, our finding is that one is much more inclined to switch supplier in order to obtain higher quality maintenance than to obtain higher quality components. A gas pressure control valve is used to illustrate our ideas.

Suggested Citation

  • Scarf, Philip A. & Cavalcante, Cristiano A.V., 2012. "Modelling quality in replacement and inspection maintenance," International Journal of Production Economics, Elsevier, vol. 135(1), pages 372-381.
  • Handle: RePEc:eee:proeco:v:135:y:2012:i:1:p:372-381
    DOI: 10.1016/j.ijpe.2011.08.011
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    References listed on IDEAS

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    1. Jonsson, Patrik, 1999. "Company-wide integration of strategic maintenance: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 60(1), pages 155-164, April.
    2. Panagiotidou, Sofia & Tagaras, George, 2007. "Optimal preventive maintenance for equipment with two quality states and general failure time distributions," European Journal of Operational Research, Elsevier, vol. 180(1), pages 329-353, July.
    3. Scarf, Philip A. & Cavalcante, Cristiano A.V., 2010. "Hybrid block replacement and inspection policies for a multi-component system with heterogeneous component lives," European Journal of Operational Research, Elsevier, vol. 206(2), pages 384-394, October.
    4. Kuo, Yarlin, 2006. "Optimal adaptive control policy for joint machine maintenance and product quality control," European Journal of Operational Research, Elsevier, vol. 171(2), pages 586-597, June.
    5. Baker, Rose D., 2000. "Calculating the expected failure rate of complex equipment subject to hazardous repair," International Journal of Production Economics, Elsevier, vol. 67(1), pages 53-61, August.
    6. H. W. Block & W. S. Borges & T. H. Savits, 1988. "A general age replacement model with minimal repair," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(5), pages 365-372, October.
    7. Colledani, Marcello & Tolio, Tullio, 2009. "Performance evaluation of production systems monitored by statistical process control and off-line inspections," International Journal of Production Economics, Elsevier, vol. 120(2), pages 348-367, August.
    8. Al-Najjar, Basim, 2007. "The lack of maintenance and not maintenance which costs: A model to describe and quantify the impact of vibration-based maintenance on company's business," International Journal of Production Economics, Elsevier, vol. 107(1), pages 260-273, May.
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