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Development of a model for optimal maintenance policy selection

Author

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  • Siew-Hong Ding
  • Shahrul Kamaruddin
  • Ishak Abdul Azid

Abstract

This paper focuses on developing a model to select the optimal maintenance policy with integration of failure modes and effect analysis and technique for order preference by similarity to ideal solution. In the past few decades, various maintenance policies such as preventive maintenance and predictive maintenance have been developed to improve the performance of the manufacturing system by improving its availability and reliability, and reducing maintenance costs. However, maintenance personnel face many difficulties identifying the optimal maintenance policy because aspects such as failure causes, availability, and the capability of maintenance policies need to be taken into consideration. In addition, most companies lack a systematic and effective selection model for selecting optimal maintenance policy. A system without an optimal maintenance policy not only will reduce the efficiency of system capability but also increase the failure risk of the system. Thus, the main objective of this paper is to propose a maintenance policy selection model that could assist maintenance personnel in identifying an optimal maintenance policy systematically. Furthermore, reduce the failure risk of the system. [Received 21 October 2009; Revised 1 July 2010; Revised 20 January 2012; Revised 15 May 2012; Accepted 20 May 2012]

Suggested Citation

  • Siew-Hong Ding & Shahrul Kamaruddin & Ishak Abdul Azid, 2014. "Development of a model for optimal maintenance policy selection," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 8(1), pages 50-68.
  • Handle: RePEc:ids:eujine:v:8:y:2014:i:1:p:50-68
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    Cited by:

    1. Nitin Panwar & Sanjeev Kumar, 2022. "Mathematical modelling and performance analysis of screening unit in paper plant," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2751-2763, October.
    2. Carpitella, Silvia & Mzougui, Ilyas & Benítez, Julio & Carpitella, Fortunato & Certa, Antonella & Izquierdo, Joaquín & La Cascia, Marco, 2021. "A risk evaluation framework for the best maintenance strategy: The case of a marine salt manufacture firm," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    3. Özcan, Evren Can & Ünlüsoy, Sultan & Eren, Tamer, 2017. "A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1410-1423.

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