一种因修复不完善而导致生产系统恶化的替换政策

F. Nodem, J. Kenné, A. Gharbi
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引用次数: 1

摘要

在本文中,我们研究了一个不断恶化的生产系统,该系统包含随机的机器故障,不完善的维修和更换。机器生产一种产品,每次发生故障时,在修理和更换之间选择一种行动。如果要修理机器,则进行不完美的修理。如果不是,就换一台相同的新机器。系统的决策变量是维修/更换策略和生产策略。控制问题的目标是找到在无限规划范围内使总成本最小化的决策变量。采用半马尔可夫决策过程(SMDP)来确定最优的维修/更换和生产策略。通过数值算例说明了所提出的方法,并说明了策略对若干失效数的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A replacement policy of deteriorating production systems subject to imperfect repairs
In this paper, we investigated a deteriorating production system subject to random machine breakdowns, imperfect repairs and replacement. The machine produces one type of product and upon each breakdown, an action is chosen between repairs and replace. If the machine is to be repaired, then an imperfect repair is undertaken. If not, the machine is replaced by a new identical one. The decision variables of the system are the repair/replacement and production policies. The objective of the control problem is to find decision variables that minimize the total incurred costs over an infinite planning horizon. A semi-Markov decision process (SMDP), is used to determine the optimal repair/replacement and production policies. A numerical example is given to illustrate the proposed approach and to show the impact of the policies on several failures number.
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