A Bivariate Maintenance Policy for Multi-State Repairable Systems With Monotone Process
被引:30
作者:
Zhang, Mimi
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City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
Zhang, Mimi
[1
]
Xie, Min
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City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
Xie, Min
[1
]
Gaudoin, Olivier
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Grenoble Univ, Lab Jean Kuntzmann, F-38041 Grenoble 9, FranceCity Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
Gaudoin, Olivier
[2
]
机构:
[1] City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
[2] Grenoble Univ, Lab Jean Kuntzmann, F-38041 Grenoble 9, France
This paper proposes a sequential failure limit maintenance policy for a repairable system. The objective system is assumed to have k +1 states, including one working state and k failure states, and the multiple failure states are classified potentially by features such as failure severity or failure cause. The system deteriorates over time and will be replaced upon the Nth failure. Corrective maintenance is performed immediately upon each of the first (N - 1) failures. To avoid the costly failure, preventive maintenance actions will be performed as soon as the system's reliability drops to a critical threshold R. Both preventive maintenance and corrective maintenance are assumed to be imperfect. Increasing and decreasing geometric processes are introduced to characterize the efficiency of preventive maintenance and corrective maintenance. The objective is to derive an optimal maintenance policy (R*, N*) such that the long-run expected cost per unit time is minimized. The analytical expression of the cost rate function is derived, and the corresponding optimal maintenance policy can be determined numerically. A numerical example is given to illustrate the theoretical results and the maintaining procedure. The decision model shows its adaptability to different possible characteristics of the maintained system.
机构:
Georgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USAGeorgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USA
Gebraeel, Nagi
Elwany, Alaa
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Georgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USAGeorgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USA
Elwany, Alaa
Pan, Jing
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Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA 52242 USAGeorgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USA
机构:
Georgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USAGeorgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USA
Gebraeel, Nagi
Elwany, Alaa
论文数: 0引用数: 0
h-index: 0
机构:
Georgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USAGeorgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USA
Elwany, Alaa
Pan, Jing
论文数: 0引用数: 0
h-index: 0
机构:
Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA 52242 USAGeorgia Inst Technol, Milton H Stewart Sch Ind & Syst Engn, Atlanta, GA 30313 USA