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Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships

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  • Goossens, Adriaan J.M.
  • Basten, Rob J.I.

Abstract

In this paper we investigate maintenance policy selection (MPS) through the use of the Analytic Hierarchy Process (AHP). A maintenance policy is a policy that dictates which parameter triggers a maintenance action. In practice, selecting the right maintenance policy appears to be a difficult decision. We investigate MPS for naval ships, but our results have wider applicability. For our study we cooperate with the owner and operator of the ships, as well as with a shipbuilder and an original equipment manufacturer of naval ships. We apply a structured five step approach to obtain the relevant criteria that may make one policy preferable over another. The criteria are drawn from both literature and a series of interviews at several navy related companies and are structured into a hierarchy of criteria usable with the AHP. Additionally, we organize three workshops at the three different companies to test the AHP-based MPS approach in practice. We conclude that the AHP is well suited for maintenance policy selection in this broad setting, and that it provides a structured and detailed approach for MPS. Adding to that, it facilitates discussions during and after the sessions, creating a better understanding of the policy selection process.

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  • Goossens, Adriaan J.M. & Basten, Rob J.I., 2015. "Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 31-41.
    • Handle: RePEc:eee:reensy:v:142:y:2015:i:c:p:31-41
    DOI: 10.1016/j.ress.2015.04.014
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    Cited by:

    1. Poppe, Joeri & Basten, Rob J.I. & Boute, Robert N. & Lambrecht, Marc R., 2017. "Numerical study of inventory management under various maintenance policies," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 262-273.
    2. Syan, Chanan S. & Ramsoobag, Geeta, 2019. "Maintenance applications of multi-criteria optimization: A review," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    3. Li, He & Teixeira, Angelo P. & Guedes Soares, C., 2020. "A two-stage Failure Mode and Effect Analysis of offshore wind turbines," Renewable Energy, Elsevier, vol. 162(C), pages 1438-1461.
    4. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    5. María Carmen Carnero & Andrés Gómez, 2019. "Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care," Sustainability, MDPI, vol. 11(10), pages 1-31, May.
    6. Mahmood Shafiee & Ashraf Labib & Jhareswar Maiti & Andrew Starr, 2019. "Maintenance strategy selection for multi-component systems using a combined analytic network process and cost-risk criticality model," Journal of Risk and Reliability, , vol. 233(2), pages 89-104, April.
    7. Poppe, Joeri & Boute, Robert N. & Lambrecht, Marc R., 2018. "A hybrid condition-based maintenance policy for continuously monitored components with two degradation thresholds," European Journal of Operational Research, Elsevier, vol. 268(2), pages 515-532.
    8. Carnero, María Carmen & Gómez, Andrés, 2017. "Maintenance strategy selection in electric power distribution systems," Energy, Elsevier, vol. 129(C), pages 255-272.
    9. 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.
    10. Cipollini, Francesca & Oneto, Luca & Coraddu, Andrea & Murphy, Alan John & Anguita, Davide, 2018. "Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 12-23.

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