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Interval-valued availability framework for supplier selection based on component importance

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  • Robert K. Hague
  • Kash Barker
  • Jose E. Ramirez-Marquez

Abstract

The availability of ageing systems, particularly weapon systems within the Department of Defense, is of significant concern, as budgets tighten and system replacement is infeasible. This work addresses the selection of sole suppliers according to their ability to provide component parts that strengthen availability of the system. We extend a popular multi-criteria decision-making approach, Technique for Order Preferences by Similarity to an Ideal Solution, by (i) considering the availability of individual components as the criteria in the decision problem and (ii) weighting those criteria according to the value of component importance measures while (iii) accounting for uncertainty in underlying reliability and maintainability parameters with interval numbers. An aircraft example illustrates the approach.

Suggested Citation

  • Robert K. Hague & Kash Barker & Jose E. Ramirez-Marquez, 2015. "Interval-valued availability framework for supplier selection based on component importance," International Journal of Production Research, Taylor & Francis Journals, vol. 53(20), pages 6083-6096, October.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:20:p:6083-6096
    DOI: 10.1080/00207543.2015.1018454
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    Cited by:

    1. Almoghathawi, Yasser & Barker, Kash & Rocco, Claudio M. & Nicholson, Charles D., 2017. "A multi-criteria decision analysis approach for importance identification and ranking of network components," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 142-151.
    2. Amin Mahmoudi & Saad Ahmed Javed, 2022. "Probabilistic Approach to Multi-Stage Supplier Evaluation: Confidence Level Measurement in Ordinal Priority Approach," Group Decision and Negotiation, Springer, vol. 31(5), pages 1051-1096, October.
    3. Hosseini, Seyedmohsen & Barker, Kash, 2016. "A Bayesian network model for resilience-based supplier selection," International Journal of Production Economics, Elsevier, vol. 180(C), pages 68-87.

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