International Journal of Systems Science · 2005 · 106 citations · 21 references
EngineeringIndustrial EngineeringOperations ManagementProbability TheoryReinsuranceStochastic ProcessesReliability ModelingReplacement DecisionsLong-run Average CostOptimal Replacement PolicyRepairable Systems ModelsShock ModelsSystem ReliabilitySystem Reliability AnalysisSystem Reliability IndicesSystem Reliability Modeling
In this paper, a shock model for a repairable system with two-type failures is studied. Assume that two kinds of shock in a sequence of random shocks will make the system failed, one based on the inter-arrival time between two consecutive shocks less than a given positive value δ and the other based on the shock magnitude of single shock more than a given positive value γ. Under this assumption, we obtain some reliability indices of the shock model such as the system reliability and the mean working time before system failure. Assume further that the system after repair is ‘as good as new’, but the consecutive repair times of the system form a stochastic increasing geometric process. On the basis of the above assumptions, we consider a replacement policy N based on the number of failure of the system. Our problem is to determine an optimal replacement policy N* such that the long-run average cost per unit time is minimised. The explicit expression of long-run average cost per unit time is derived, and the corresponding optimal replacement policy can be determined analytically or numerically. Finally, a numerical example is given.
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Shock Models and Wear Processes
J. D. Esary, Albert W. Marshall · The Annals of Probability · 1973 · 638 citations · Full text
Acta mathematicae applicatae Sinica
Zhongguo shu xue hui, Zhongguo ke xue yuan · 1984 · 418 citations
A note on the optimal replacement problem
Lam Yeh · Advances in Applied Probability · 1988 · 309 citations · Full text
Engineering, Industrial Engineering, Operations Management +16