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A bi‐objective optimization approach for the maintenance planning of networked systems
Author(s) -
Li Wanshan,
Zhang Chi
Publication year - 2020
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2633
Subject(s) - unavailability , reliability (semiconductor) , reliability engineering , imperfect , multi objective optimization , pareto principle , process (computing) , time horizon , operations research , computer science , engineering , power (physics) , operations management , mathematical optimization , mathematics , quantum mechanics , machine learning , operating system , linguistics , physics , philosophy
Networked systems, such as telecommunications, transportation, and power transmission, are critical for the economic development and social well‐being of a society and are required to keep the prescribed demand continuously satisfied. Therefore, when planning maintenance actions for such a system, the adverse influence on its reliability caused by the unavailability of the components in the process of being maintained needs to be taken into account. To deal with this problem, we propose a new bi‐objective optimization approach to determine the Pareto optimal maintenance plans for a networked system, simultaneously maximizing its reliability within the concerned planning horizon and minimizing the total maintenance cost. Both perfect and imperfect maintenance actions are considered. The proposed approach can well balance the influence of maintenance actions on a networked system's reliability during their implementation and after being completed and, thus, can help ensure its reliability of continuously satisfying the prescribed demand.