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A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance

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  • Linnéusson, Gary
  • Ng, Amos H.C.
  • Aslam, Tehseen

Abstract

Managing maintenance and its impact on business results is increasingly complex, calling for more advanced operational research methodologies to address the challenge of sustainable decision-making. This problem-based research has identified a framework of methods to supplement the operations research/management science literature by contributing a hybrid simulation-based optimization framework (HSBOF), extending previously reported research.

Suggested Citation

  • Linnéusson, Gary & Ng, Amos H.C. & Aslam, Tehseen, 2020. "A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance," European Journal of Operational Research, Elsevier, vol. 281(2), pages 402-414.
    • Handle: RePEc:eee:ejores:v:281:y:2020:i:2:p:402-414
    DOI: 10.1016/j.ejor.2019.08.036
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    References listed on IDEAS

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    1. Gary Linnéusson & Amos H. C. Ng & Tehseen Aslam, 2018. "Quantitative analysis of a conceptual system dynamics maintenance performance model using multi-objective optimisation," Journal of Simulation, Taylor & Francis Journals, vol. 12(2), pages 171-189, April.
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    Cited by:

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    3. Leoni, Leonardo & De Carlo, Filippo & Tucci, Mario, 2023. "Developing a framework for generating production-dependent failure rate through discrete-event simulation," International Journal of Production Economics, Elsevier, vol. 266(C).

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