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

Yaping Li, E. Pan, Zhen Chen
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引用次数: 3

Abstract

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.
考虑机器健康状况的预测性维护策略和x柱控制图联合优化
多数研究采用SPC与维护策略相结合的基于时间的预防性维护,由于忽略了机器的实际运行状况,造成了大概率的不必要的或不存在的行为。根据机器的健康状况考虑预测性维修,建立了SPC和维修策略的联合优化模型。该模型的目标是通过在健康指数、维修频率、控制极限、样本量和采样间隔等方面寻找维修时间阈值的最优值,使周期内单位时间的成本最小。通过数值算例和全面的灵敏度分析,验证了所提联合优化模型的有效性。
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