Heuristic hybrid game approach for fleet condition-based maintenance planning

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

24 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)166-176
Journal / PublicationReliability Engineering and System Safety
Volume157
Publication statusPublished - 1 Jan 2017

Abstract

The condition-based maintenance (CBM) method is commonly used to select appropriate maintenance opportunities according to equipment status over a period of time. The CBM of aircraft fleets is a fleet maintenance planning problem. In this problem, mission requirements, resource constraints, and aircraft statuses are considered to find an optimal strategy set. Given that the maintenance strategies for each aircraft are finite, fleet CBM can be treated as a combinatorial optimization problem. In this study, the process of making a decision on the CBM of military fleets is analyzed. The fleet CBM problem is treated as a two-stage dynamic decision-making problem. Aircraft are divided into dispatch and standby sets; thus, the problem scale is significantly reduced. A heuristic hybrid game (HHG) approach comprising a competition game and a cooperative game is proposed on the basis of heuristic rule. In the dispatch set, a competition game approach is proposed to search for a local optimal strategy matrix. A cooperative game method for the two sets is also proposed to ensure global optimization. Finally, a case study regarding a fleet comprising 20 aircraft is conducted, with the results proving that the approach efficiently generates outcomes that meet the mission risk-oriented schedule requirement.

Research Area(s)

  • Condition-based maintenance, Fleet maintenance planning, Heuristic rule, Hybrid game