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A Multicriteria Model to Determine Maintenance Policy for a Protection System Subject to Imperfect Maintenance

In: Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis

Author

Listed:
  • Alexandre Ramalho Alberti

    (Universidade Federal de Pernambuco)

  • Cristiano Alexandre Virgínio Cavalcante

    (Universidade Federal de Pernambuco)

Abstract

A delay-time model for a hybrid inspection and preventive replacement policy that is applied to a protection system is presented. This model considers an important aspect of maintenance quality: the probability of defect induction in the inspection. Defect induction is much more frequent than imagined, and in some circumstances, it can be considered a major vulnerability in systems whereby some serious accidents occur. This quality parameter is difficult to evaluate and estimate accurately, and has a large impact on the results and the definition of the maintenance policy. Therefore, to suitably treat this problem, we propose the estimation of an a priori probability distribution for this parameter. Given the uncertain context of the problem, a multi-criteria approach based on the application of multi-attribute utility theory (MAUT) is proposed in order to define the maintenance policy that presents the best compromise between the cost and the rate of unmet demands. A numerical application is presented. The results show the importance of following a structured protocol to build the multi-criteria model and that the expected a priori results may be not confirmed.

Suggested Citation

  • Alexandre Ramalho Alberti & Cristiano Alexandre Virgínio Cavalcante, 2022. "A Multicriteria Model to Determine Maintenance Policy for a Protection System Subject to Imperfect Maintenance," International Series in Operations Research & Management Science, in: Adiel Teixeira de Almeida & Love Ekenberg & Philip Scarf & Enrico Zio & Ming J. Zuo (ed.), Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis, pages 203-226, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-89647-8_10
    DOI: 10.1007/978-3-030-89647-8_10
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