Publication: Mean time to failure and availability of semi-Markov missions with maximal repair
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Abstract
We analyze mean time to failure and availability of semi-Markov missions that consist of phases with random sequence and durations. It is assumed that the system is a complex one with nonidentical components whose failure properties depend on the mission process. The stochastic structure of the mission is described by a Markov renewal process. We characterize mean time to failure and system availability under the maximal repair policy where the whole system is replaced by a brand new after successfully completing a phase before the next phase starts. Special cases involving Markovian missions are also considered to obtain explicit formulas. (C) 2010 Elsevier B.V. All rights reserved.
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Elsevier Science Bv
Subject
Management, Operations research, Management science
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Source
European Journal of Operational Research
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DOI
10.1016/j.ejor.2010.07.019