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Calendar-based age replacement policy with dependent renewal cycles
, 2016 Maliheh Aramon Bajestani +1 more
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Applied Statistics, 1968
Optimal Replacement Policy. By D. W. Jorgenson, J. J. McCall and D. Radner. Amsterdam, North‐Holland, 1967. xii, 225 pp. 83/4“. 60s.
F. C. Thomson +3 more
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Optimal Replacement Policy. By D. W. Jorgenson, J. J. McCall and D. Radner. Amsterdam, North‐Holland, 1967. xii, 225 pp. 83/4“. 60s.
F. C. Thomson +3 more
+4 more sources
On Optimal Replacement Policies
Management Science, 1982A system (e.g., a car) must operate for the next t time units. A certain component (e.g., a battery) must be replaced whenever it fails, as it is essential for the operation of the system. There are several types of components differing only in price and life distribution.
D. Assaf, B. Levikson
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Bayesian Group Replacement Policies
Operations Research, 1995Much research has been performed in finding optimal group replacement policies for production systems consisting of parallel components, where the failure times of the components are independent identically distributed exponential random variables with a common parameter λ.
Wilson, John G., Benmerzouga, Ali
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Journal of Applied Probability, 1993
In this paper we introduce the concept of repair replacement. Repair replacement is a maintenance policy in which items are preventively maintained when a certain time has elapsed since their last repair. This differs from age replacement where a certain amount of time has elapsed since the last replacement.
Block, Henry W. +2 more
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In this paper we introduce the concept of repair replacement. Repair replacement is a maintenance policy in which items are preventively maintained when a certain time has elapsed since their last repair. This differs from age replacement where a certain amount of time has elapsed since the last replacement.
Block, Henry W. +2 more
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Discrete Time Age Replacement Policies
Journal of the Operational Research Society, 1977Age replacement problems were discussed by Barlow and Proschan in 1965 and based on continuous time failure distributions. The aims in this tutorial note are (1) to convert a typical age replacement model to a model in discrete time, and (2) to extend it to a similar model with discounting.
Nakagawa, Toshio, Osaki, Shunji
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