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Simultaneous optimization of X control chart and age-based preventive maintenance policies under an economic objective

机译:在经济目标下同时优化X控制图和基于年龄的预防性维护策略

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The economic design of control charts and the optimization of preventive maintenance policies have separately received a tremendous amount of attention in the quality and reliability literature over the years in an attempt to reduce the costs associated with operating manufacturing processes. Not until recently has the proposal been made to integrate these two fields and utilize the relationship between quality and equipment performance to improve the productivity of a manufacturing process. In this paper, we extend the initial preliminary investigation of this idea of using an X chart in conjunction with an age-replacement preventive maintenance policy. We formulate a partially observable, discrete-time Markov decision process in order to obtain the near-optimal combined preventive maintenance/statistical process control policy that minimizes the costs associated with maintenance, sampling, and poor quality. We develop transition probabilities for the various states of the infinite horizon problem and a solution algorithm for finding the best policy in polynomial time by finding a control limit on the sampling policy. We also perform sensitivity analysis on the decision variables for each of the various input parameters. It is shown that in every case a combined PM and SPC policy is the most cost efficient.
机译:多年来,控制图的经济设计和预防性维护策略的优化已分别在质量和可靠性方面引起了广泛关注,以降低与制造过程相关的成本。直到最近才提出整合这两个领域并利用质量和设备性能之间的关系来提高制造过程的生产率的提议。在本文中,我们扩展了对将X图表与年龄替换预防性维护策略结合使用的想法的初步初步调查。我们制定了一个部分可观察的,离散时间的马尔可夫决策过程,以便获得接近最优的预防性维护/统计过程控制策略,从而将与维护,采样和不良质量相关的成本降至最低。我们开发了无限视野问题各种状态的转移概率,以及通过在采样策略上找到控制极限来找到多项式时间内最佳策略的求解算法。我们还对各种输入参数中每个参数的决策变量执行敏感性分析。结果表明,在每种情况下,组合使用PM和SPC策略都是最具成本效益的。

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