Optimal replacement in a shock model: discrete time
1987 ◽
Vol 24
(01)
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pp. 281-287
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Keyword(s):
Long Run
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A system is subject to a sequence of shocks occurring randomly at timesn= 1, 2, ···; each shock causes a random amount of damage. The system might fail at any point in timen, and the probability of a failure depends on the history of the system. Upon failure the system is replaced by a new and identical system and a cost is incurred. If the system is replaced before failure a smaller cost is incurred. We study the problem of specifying a replacement rule which minimizes the long-run (expected) average cost per unit time. A special case, in which the system fails when the total damage first exceeds a fixed threshold, is analysed in detail.
1998 ◽
Vol 34
(1-2)
◽
pp. 55-62
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2021 ◽
pp. 149-152
2005 ◽
Vol 42
(01)
◽
pp. 1-14
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1990 ◽
Vol 22
(02)
◽
pp. 494-497
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