Optimal Inspection Policy for a Three-Stage System Considering the Production Wait Time

被引:22
|
作者
Kou, Gang [1 ]
Liu, Yaying [2 ]
Xiao, Hui [2 ]
Peng, Rui [3 ]
机构
[1] Southwestern Univ Finance & Econ, Fac Business Adm, Sch Business Adm, Chengdu 611130, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Management Sci & Engn, Chengdu 611130, Peoples R China
[3] Beijing Univ Technol, Sch Econ & Management, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Inspection; Maintenance engineering; Costs; Degradation; Production systems; Numerical models; Sensitivity analysis; Delay-time concept; inspection; preventive maintenance (PM); production wait; CONDITION-BASED MAINTENANCE; PREVENTIVE MAINTENANCE; BURN-IN; SUBJECT; MODEL; OPTIMIZATION;
D O I
10.1109/TR.2022.3200126
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Inspection is usually carried out periodically to update a system state such that the optimal maintenance policy can be determined. In order to obtain the best inspection and maintenance policy, existing research is focused on improving the modeling accuracy of the system failure process. Little work has been devoted to making full use of the system idle time, which is known as the production wait in production systems. In this research, the failure process of a single-unit system is modeled in three stages with consideration of its production wait time. The objective of minimizing the long-run average maintenance cost per unit time is achieved by finding the optimal length of the periodic inspection interval and renewal age for this single-unit system. By comparing this model with two two-stage inspection models, the numerical study of a real steelmaking converter confirms both the accuracy and effectiveness of the proposed inspection and maintenance model. Furthermore, the sensitivity analysis of different parameters is conducted to explore the optimal choice of maintenance strategy for different cost parameters and degradation parameters. The analysis provides useful management insights for decision-makers.
引用
收藏
页码:934 / 949
页数:16
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