Optimizing usage and maintenance decisions for k-out-of-n systems of moving assets

Research output: Book/ReportReportAcademic

Abstract

We consider an integrated usage and maintenance optimization problem for a k-out-of-n system pertaining to a moving asset. The k-out-of-n systems are commonly utilized in practice to increase availability, where n denotes the total number of parallel and identical units and k the number of units required to be active for a functional system. Moving assets such as aircrafts, ships, and submarines are subject to different operating modes. Operating modes can dictate not only the number of system units that are needed to be active, but also where the moving asset physically is, and under which environmental conditions it operates. We use the intrinsic age concept to model the degradation process. The intrinsic age is analogous to an intrinsic clock which ticks on a different pace in different operating modes. In our problem setting, the number of active units, degradation rates of active and standby units, maintenance costs, and type of economic dependencies are functions of operating modes. In each operating mode, the decision maker should decide on the set of units to activate (usage decision) and the set of units to maintain (maintenance decision). Since the degradation rate differs for active and standby units, the units to be maintained depend on the units that have been activated, and vice versa. In order to minimize maintenance costs, usage and maintenance decisions should be jointly optimized. We formulate this problem as a Markov decision process and provide some structural properties of the optimal policy. Moreover, we assess the performance of usage policies that are commonly implemented for maritime systems. We show that the cost increase resulting from these policies is up to 27% for realistic settings. Our numerical experiments demonstrate the cases in which joint usage and maintenance optimization is more valuable.
LanguageEnglish
Place of PublicationEindhoven
PublisherTechnische Universiteit Eindhoven
Number of pages30
StatePublished - 13 Mar 2017

Publication series

NameBETA publicatie : working papers
Volume525
ISSN (Print)1386-9213

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Degradation
Costs
Structural properties
Clocks
Ships
Aircraft
Availability
Economics
Experiments

Cite this

Eruguz, A. S., Tan, T., & van Houtum, G. J. J. A. N. (2017). Optimizing usage and maintenance decisions for k-out-of-n systems of moving assets. (BETA publicatie : working papers; Vol. 525). Eindhoven: Technische Universiteit Eindhoven.
Eruguz, A.S. ; Tan, T. ; van Houtum, G.J.J.A.N./ Optimizing usage and maintenance decisions for k-out-of-n systems of moving assets. Eindhoven : Technische Universiteit Eindhoven, 2017. 30 p. (BETA publicatie : working papers).
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Eruguz, AS, Tan, T & van Houtum, GJJAN 2017, Optimizing usage and maintenance decisions for k-out-of-n systems of moving assets. BETA publicatie : working papers, vol. 525, Technische Universiteit Eindhoven, Eindhoven.

Optimizing usage and maintenance decisions for k-out-of-n systems of moving assets. / Eruguz, A.S.; Tan, T.; van Houtum, G.J.J.A.N.

Eindhoven : Technische Universiteit Eindhoven, 2017. 30 p. (BETA publicatie : working papers; Vol. 525).

Research output: Book/ReportReportAcademic

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Eruguz AS, Tan T, van Houtum GJJAN. Optimizing usage and maintenance decisions for k-out-of-n systems of moving assets. Eindhoven: Technische Universiteit Eindhoven, 2017. 30 p. (BETA publicatie : working papers).