摘要：The selective maintenance problem (SMP) arises in many multi-component systems that are operated for consecutive missions interspersed with finite breaks during which only a selected set of component repairs or replacements can be carried out due to limited time, budget, or resources. This NP-hard problem decides which components to select and which degree of repairs should be performed on the selected components to guarantee a pre-specified performance level during the subsequent mission. Over the last two decades, a sizeable literature has been published in this research area. However, the contributions have been stagnating and most articles deal with small to moderate size problems. This paper provides a comprehensive critical review of studies in the field. In the first part of the paper, system characteristics, maintenance characteristics, and model characteristics are discussed. In the second part, solution methods proposed for the SMP, including exact algorithms, heuristic algorithms, and simulation techniques are reviewed. Finally, drawbacks, shortcomings and blind spots of the SMP literature are highlighted, and a list of challenging and innovative future research topics is offered.
