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Considering machine health condition in jointly optimizing predictive maintenance policy and X-bar control chart

机译:在联合优化预测性维护策略和X-bar控制图时考虑机器健康状况

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The time-based preventive maintenance, used by the integrated model of SPC and maintenance policy in most research, caused unnecessary or absent actions with a high probability due to ignoring the actual operation condition of the machine. We consider the predictive maintenance according to the health condition of the machine to develop a joint optimization model of SPC and maintenance policy. The objective of the model is to minimize the cost per unit time in the cycle by find the optimal values of maintenance time threshold about the health index, maintenance frequency, control limit, sample size and sampling interval. A numerical example and thorough sensitivity analysis are provided to illustrate the efficiency of the proposed joint optimization model.
机译:在大多数研究中,SPC和维护策略的集成模型使用基于时间的预防性维护,由于忽略了机器的实际运行状况,因此很有可能导致不必要的或缺少的操作。我们根据机器的健康状况考虑预测性维护,以开发SPC和维护策略的联合优化模型。该模型的目的是通过找到有关健康指标,维护频率,控制极限,样本量和采样间隔的维护时间阈值的最佳值,以最大程度地减少周期中每单位时间的成本。数值算例和详尽的灵敏度分析说明了所提出的联合优化模型的有效性。

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