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A critical review of selective maintenance for mission-oriented systems: challenges and a roadmap for novel contributions

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  • Hamzea Al-Jabouri
  • Ahmed Saif
  • Abdelhakim Khatab
  • Claver Diallo
  • Uday Venkatadri

Abstract

The selective maintenance problem (SMP) arises in many mission-oriented multi-component systems that are operated for consecutive missions interspersed with finite breaks, during which only limited component repairs can be performed due to constrained resources. This NP-hard problem decides which components to maintain and to what levels of repair to guarantee a pre-specified performance level during the subsequent mission. Over the last two decades, a sizeable body of literature has been published on this topic. However, the contributions have stagnated in quality, and most articles deal with small to moderate problems. This paper provides a critical review of the SMP literature. A total of 136 research articles related to SMP are reviewed and a selection of key representative models is discussed in detail. This review is framed according to two feature categories: formulation characteristics, composed of three sub-groups of characteristics related to the system, maintenance and mathematical model characteristics; and solution approaches, grouped by exact methods and approximate algorithms. This critical review is aimed at identifying drawbacks, shortcomings, and blind spots of the SMP literature, and providing a roadmap for the challenges to be addressed and innovative future research topics to further advance the academic and industrial contributions of SMP.

Suggested Citation

  • Hamzea Al-Jabouri & Ahmed Saif & Abdelhakim Khatab & Claver Diallo & Uday Venkatadri, 2024. "A critical review of selective maintenance for mission-oriented systems: challenges and a roadmap for novel contributions," International Journal of Production Research, Taylor & Francis Journals, vol. 62(13), pages 4980-5015, July.
  • Handle: RePEc:taf:tprsxx:v:62:y:2024:i:13:p:4980-5015
    DOI: 10.1080/00207543.2023.2270689
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