This paper considers a periodic preventive maintenance policy for a deteriorating and repairable system. The system is subject to random failures and is repaired at each failure. To improve the reliability, at periodic timesiT(i= 1, 2, horizontal ellipsis N-1), the system is preventively maintained (PM). At the timeNTthe system is replaced. The failure/repair process between two PMs follows the Non-Homogeneous Pure Birth Process (NHPBP) which is a generalized version of the Non-homogeneous Poisson process (NHPP). The reliability improvement made by a PM action is stochastically modeled based on the properties of NHPBP. The cost for each PM depends on the reliability condition of the system at that PM time. The PM policy is characterized by the two parameters (N, T). We develop a two-stage procedure to find the optimal (N*, T*) which minimizes the long-run expected cost rate. Numerical examples are presented to illustrate the properties of the optimal policies.
机构:
Providence Univ, Dept Stat & Informat Sci, Taichung 433, TaiwanProvidence Univ, Dept Stat & Informat Sci, Taichung 433, Taiwan
Chang, Chin-Chih
Zhang, Zhe George
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机构:
Western Washington Univ, Dept Decis Sci, Bellingham, WA 98225 USA
Simon Fraser Univ, Beedie Sch Business, Burnaby, BC V5A 1S6, CanadaProvidence Univ, Dept Stat & Informat Sci, Taichung 433, Taiwan
机构:
Providence Univ, Dept Stat & Informat Sci, Taichung 433, TaiwanProvidence Univ, Dept Stat & Informat Sci, Taichung 433, Taiwan
Chang, Chin-Chih
Zhang, Zhe George
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机构:
Western Washington Univ, Dept Decis Sci, Bellingham, WA 98225 USA
Simon Fraser Univ, Beedie Sch Business, Burnaby, BC V5A 1S6, CanadaProvidence Univ, Dept Stat & Informat Sci, Taichung 433, Taiwan
机构:
Western Washington Univ, Dept Decis Sci, Bellingham, WA 98225 USA
Simon Fraser Univ, Beedie Sch Business, Burnaby, BC V5A 1S6, CanadaProvidence Univ, Dept Stat & Informat Sci, Taichung 433, Taiwan
机构:
Shenzhen technol Univ, SINO German Coll intelligent Mfg, Shenzhen 518118, Peoples R ChinaShenzhen technol Univ, SINO German Coll intelligent Mfg, Shenzhen 518118, Peoples R China
Gao, Wenke
Wang, Yu
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SANY Heavy Machinery Ltd, Kunshan, Peoples R ChinaShenzhen technol Univ, SINO German Coll intelligent Mfg, Shenzhen 518118, Peoples R China
Wang, Yu
Zhang, Xiwen
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机构:
Lanzhou Univ technol, Sch energy & power Engn, Lanzhou, Peoples R ChinaShenzhen technol Univ, SINO German Coll intelligent Mfg, Shenzhen 518118, Peoples R China
Zhang, Xiwen
Wang, Zhuangzhuang
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机构:
Lanzhou Univ technol, Sch energy & power Engn, Lanzhou, Peoples R ChinaShenzhen technol Univ, SINO German Coll intelligent Mfg, Shenzhen 518118, Peoples R China
Wang, Zhuangzhuang
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY,
2023,
25
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