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Opportunistic Maintenance Policies for Multi-Components Systems

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

Author

Listed:
  • Phuc Do

    (University of Lorraine)

  • Roy Assaf

    (University of Salford)

  • Phil Scarf

    (Cardiff University)

Abstract

This chapter provides some contributions for opportunistic maintenance optimization of multi-component system in the arising context of on-line monitoring and strong interactions between components. The key point is, on one hand, to model and integrate different kinds of dependencies (stochastic dependence, structural dependence and economic dependence), that may exist between components, into an adaptive maintenance model. On the other hand, it is important to build an appropriate decision indicator and maintenance rules allowing selecting efficiently a component or a group of components to be preventively maintained. In that way, the chapter presents firstly the modelling of several types of dependencies and their impacts on degradation modelling and maintenance costs structures. Two kinds of opportunistic condition-based maintenance policies, degradation-based opportunistic policies and predictive reliability-based opportunistic policies, are then described. In both kinds of policies, both individual and opportunistic maintenance decision rules are proposed for components selections. Several numerical examples are also introduced to show the uses and the performance of the presented opportunistic maintenance policies for maintenance optimization of multi-component systems with various dependencies between components.

Suggested Citation

  • Phuc Do & Roy Assaf & Phil Scarf, 2022. "Opportunistic Maintenance Policies for Multi-Components Systems," 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 403-422, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-89647-8_19
    DOI: 10.1007/978-3-030-89647-8_19
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