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Choosing the optimal intervention method to reduce human-related machine failures

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  • Kiassat, Corey
  • Safaei, Nima
  • Banjevic, Dragan

Abstract

This paper presents a novel method to quantify the effects of human-related factors on the risk of failure in manufacturing industries. When failures can be caused by operators, the decision maker must intervene to mitigate operator-related risk. There are numerous intervention methods possible; we develop a revenue model that provides the decision-maker with a systematic tool to perform a cost-benefit analysis, balancing the advantage of risk reduction, against the direct cost of the intervention method.

Suggested Citation

  • Kiassat, Corey & Safaei, Nima & Banjevic, Dragan, 2014. "Choosing the optimal intervention method to reduce human-related machine failures," European Journal of Operational Research, Elsevier, vol. 233(3), pages 604-612.
    • Handle: RePEc:eee:ejores:v:233:y:2014:i:3:p:604-612
    DOI: 10.1016/j.ejor.2013.09.002
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    References listed on IDEAS

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    Cited by:

    1. Sobhani, A. & Wahab, M.I.M. & Neumann, W.P., 2017. "Incorporating human factors-related performance variation in optimizing a serial system," European Journal of Operational Research, Elsevier, vol. 257(1), pages 69-83.

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