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

Ikuobase Emovon (), Rosemary A. Norman () and Alan J. Murphy ()
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Ikuobase Emovon: Newcastle University
Rosemary A. Norman: Newcastle University
Alan J. Murphy: Newcastle University

Journal of Intelligent Manufacturing, 2018, vol. 29, issue 3, No 4, 519-531

Abstract: 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.

Keywords: Analytical hierarchy process; PROMETHEE; Delphi method; Maintenance strategy alternative; Machinery system (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10845-015-1133-6

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