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Optimal Randomized Replacement under Markovian Deterioration

机译:马尔可夫变质下的最优随机替换

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The nature of the optimal replacement rules for a system subject to Markovian deterioration and failure is studied. It is shown that under a generalized aging property a randomized control limit rule maximizes the expected cycle length of the system subject to an upper bound on the probability of failure. (Author)

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