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Joint optimization of inspection, maintenance, and spare ordering policy considering defective products loss

Journal of Systems Engineering and Electronics 2021年第5期32卷 1167-1179页

作者： HAN Mengying YANG Jianhua ZHAO Xiao School of Economics and Management University of Science and Technology BeijingBeijing 100083China Beijing Enter-prise Low-Carbon Operation Strategy Research Base University of Science and Technology BeijingBeijing 100083China School of Business Hebei University of Economics and BusinessShijiazhuang 050061China

This paper proposes a joint inspection-based maintenance and spare ordering optimization policy that considers the problem of integrated inspection,preventive maintenance,spare ordering,and quality control for a four-state single-unit manufacturing system.When an inspection detects a minor defect,a second phase inspection is initiated and a regular order is placed.Product quality begins to deteriorate when the system undergoes a severe defect.To counter this,an advanced replacement of the minor defective system is carried out at the Jth second phase inspection.If a severe defect is recognized prior to the Jth inspection,or if system failure occurs,preventive or corrective replacement is executed.The timeliness of replacement depends on the availability of spare.We adopt two modes of ordering:a regular order and an emergency order.Meanwhile,a threshold level is introduced to determine whether an emergency order is preferred even when the regular order is already ordered but has not yet arrived.The optimal joint inspection-based maintenance and spare ordering policy is formulated by minimizing the expected cost per unit time.A simulation algorithm is proposed to obtain the optimal two-phase inspection interval,threshold level and advanced replacement interval.Results from several numerical examples demonstrate that,in terms of the expected cost per unit time,our proposed model is superior to some existing models.

关键词： maintenance two-phase inspection spare ordering three-stage failure process delay-time model

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