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Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems

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  • Ikuobase Emovon

    (Newcastle University
    Federal University of Petroleum Resources)

  • Rosemary A. Norman

    (Newcastle University)

  • Alan J. Murphy

    (Newcastle University)

Abstract

The key to achieving optimum ship system reliability and safety is to have a sound maintenance management system in place for mitigating or eliminating equipment/component failures. Maintenance has three key elements; risk assessment, maintenance strategy selection and the process of determining the optimal interval for the maintenance task. The optimisation of these three main elements of maintenance is what constitute a sound maintenance management system. One of the challenges that marine maintenance practitioners are faced with is the problem of maintenance selection for each equipment item of the ship machinery system. The decision making process involves utilising different conflicting decision criteria in selecting the optimum maintenance strategy from among multiple maintenance alternatives. In tackling such decision making problems the application of a multi-criteria decision making (MCDM) method is appropriate. Hence in this paper two hybrid MCDM methods; Delphi-AHP and Delphi-AHP-PROMETHEE, are presented for the selection of appropriate maintenance strategies for ship machinery systems and other related ship systems. A case study of a ship machinery system maintenance strategy selection problem is used to demonstrate the suitability of the proposed methods.

Suggested Citation

  • Ikuobase Emovon & Rosemary A. Norman & Alan J. Murphy, 2018. "Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 519-531, March.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:3:d:10.1007_s10845-015-1133-6
    DOI: 10.1007/s10845-015-1133-6
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    Cited by:

    1. Dohale, Vishwas & Gunasekaran, Angappa & Akarte, Milind & Verma, Priyanka, 2021. "An integrated Delphi-MCDM-Bayesian Network framework for production system selection," International Journal of Production Economics, Elsevier, vol. 242(C).
    2. Athanasios P. Vavatsikos & Kalliopi F. Sotiropoulou & Veniamin Tzingizis, 2022. "GIS-assisted suitability analysis combining PROMETHEE II, analytic hierarchy process and inverse distance weighting," Operational Research, Springer, vol. 22(5), pages 5983-6006, November.
    3. Juan José Montero Jiménez & Rob Vingerhoeds & Bernard Grabot & Sébastien Schwartz, 2023. "An ontology model for maintenance strategy selection and assessment," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1369-1387, March.
    4. Liu, Aijun & Zhao, Yingxue & Meng, Xiaoge & Zhang, Yan, 2020. "A three-phase fuzzy multi-criteria decision model for charging station location of the sharing electric vehicle," International Journal of Production Economics, Elsevier, vol. 225(C).

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