Optimal opportunistic maintenance decisions for degradation-dependent systems via integrated benefit assessment

초록

Opportunistic maintenance (OM) is a widely recognized strategy for improving system reliability and cost efficiency. However, its practical application is often constrained by degradation dependencies among subsystems and limited parallel maintenance capacity. Existing research exhibits notable gaps in integrating degradation coupling information into OM decisions, conducting systematic task screening under resource constraints, and developing multi-dimensional benefit evaluation models. To address these gaps, this paper proposes an integrated OM decision-making framework for degradation-dependent systems under limited parallel maintenance capacity. First, a system-level degradation association network is constructed to provide a structured characterization of degradation coupling effects. Second, a resource-aware task screening mechanism is developed to dynamically determine feasible maintenance task sets under parallel capacity and time constraints. Third, a multi-dimensional benefit evaluation model is established that comprehensively incorporates degradation coupling strength, maintenance effectiveness, and OM window utilization. Finally, a multi-objective optimization model is formulated to balance maintenance cost rate and system availability according to decision-maker preferences. Numerical experiments on a civil aircraft air conditioning system show that the proposed method effectively captures degradation interactions, generates robust OM strategies under resource constraints, and achieves a favorable cost–availability trade-off.

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