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OPTIMAL REPLACEMENT FOR DISCRETE SHOCK MODELS
作者姓名:CHENG Shixue People's University of China  Beijing  China
作者单位:CHENG Shixue People's University of China,Beijing 100872,China
基金项目:This work is supported by the National Natural Science Foundation of China.
摘    要:A device is subject to damage. The damage occurs randomly in discrete timeaccording to an increasing homogeneous Markov chain, where the incremental damagecaused by a shock depends on the magnitude of the shock. The device has a threshold,and it fails once the damage level exceeds the threshold. Upon failure the device is replacedby a new and identical one and a cost is incurred. If the device is replaced before failure,a smaller cost is incurred. In this paper we study the problem of specifying a replacementrule which minimizes the long-run (expected) average cost per unit time. Under mildconditions we show that the optimal replacement policy exists and it possesses the controllimit property.


OPTIMAL REPLACEMENT FOR DISCRETE SHOCK MODELS
CHENG Shixue People''''s University of China,Beijing ,China.OPTIMAL REPLACEMENT FOR DISCRETE SHOCK MODELS[J].Journal of Systems Science and Complexity,1993(3).
Authors:CHENG Shixue People's University of China  Beijing  China
Institution:CHENG Shixue People's University of China,Beijing 100872,China
Abstract:A device is subject to damage. The damage occurs randomly in discrete time according to an increasing homogeneous Markov chain, where the incremental damage caused by a shock depends on the magnitude of the shock. The device has a threshold, and it fails once the damage level exceeds the threshold. Upon failure the device is replaced by a new and identical one and a cost is incurred. If the device is replaced before failure, a smaller cost is incurred. In this paper we study the problem of specifying a replacement rule which minimizes the long-run (expected) average cost per unit time. Under mild conditions we show that the optimal replacement policy exists and it possesses the control limit property.
Keywords:Increasing homogeneous Markov chain  first failure time  Markovian replacement time  average cost  optimal replacement policy
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