基于半马尔可夫的生产系统维修决策

Jianlong Wu, B. Xiao, Liying Yang, Zhonghao Zhao
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引用次数: 0

摘要

为了提高生产系统的能力,提出了一种基于半马尔可夫模型的维修决策方法。首先对生产系统的模型进行了描述。然后,结合状态概率和通用生成函数对系统的可靠性进行分析。在不完全维修决策模型的基础上,提出了不完全预防性维修与不完全修理性维修相结合的维修决策方法,保证了生产系统在规定时间内获得最大的生产可用性。并以一个算例验证了所提模型和分析方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semi-Markov Based Maintenance Decision for Production System
In order to improve the capacity of production system, a maintenance decision method based on Semi-Markov Model was provided. Firstly the model for the production system was described. Then, the state probability and universal generating function were combined to analyze the reliability of the system. Based upon the imperfect maintenance decision model, a maintenance decision method combining imperfect preventive maintenance and imperfect repair maintenance was proposed, which ensured that the production system could obtain maximum production availability within the specified time. And a case was taken as an example to verify the effectiveness of the proposed model and the analysis method.
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