An Optimum Selective Maintenance Plan for Mission-Oriented Systems Subject to Degradation Process Model
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It discusses a new methodology developed to optimize selective maintenance planning of mission-oriented systems, such as aircraft, ships, and power plants, when they undergo maintenance between short breaks during missions. This methodology is used to frame the mathematical optimization model that finds the remaining useful life of a system, considering three of the most common degradation processes, namely Wiener, Gamma, and Inverse Gaussian. This research develops real-world solutions based on degradation data instead of lifetime data. This paper contributes to the literature by proposing a new, practical model for maintenance scheduling improvements, which can pave the way for new studies in future research regarding maintenance optimization and degradation modeling. Finally, a numerical passenger boat example is provided to illustrate the details of the proposed model.