We analyze the optimal replacement policy for a system subject to a general failure and repair model. Failures can be of one of two types: catastrophic or minor. The former leads to the replacement of the system, whereas minor failures are followed by repairs. The novelty of the proposed model is that, after repair, the system recovers the operational state but its condition is worse than that just prior to failure (worse than old). Undertrained operators or low quality spare parts explain this deficient maintenance. The corresponding failure process is based on the Generalized Polya Process which presents both the minimal repair and the perfect repair as special cases. The system is replaced by a new one after the first catastrophic failure, and also undergoes two sorts of preventive maintenance based on age and after a predetermined number of minor failures whichever comes first. We derive the long-run average cost rate and study the optimal replacement policy. Some numerical examples illustrate the comparison between the as bad-as-old and the worse than old conditions.
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Rhodes Univ, Dept Stat, Makhanda, South AfricaRhodes Univ, Dept Stat, Makhanda, South Africa
Langston, Amy
Finkelstein, Maxim
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Univ Free State, Dept Math Stat, Bloemfontein, South Africa
Univ Strathclyde, Dept Management Sci, Glasgow, ScotlandRhodes Univ, Dept Stat, Makhanda, South Africa
机构:
Univ Paris Est, Lab Anal & Math Appl, CNRS, UMR 8050, F-77454 Champs Sur Marne, Champs Marne, FranceUniv Paris Est, Lab Anal & Math Appl, CNRS, UMR 8050, F-77454 Champs Sur Marne, Champs Marne, France
机构:
Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China
Changsha Univ Sci & Technol, Sch Math & Comp Sci, Changsha 410076, Hunan, Peoples R ChinaNE Univ Qinhuangdao, Qinhuangdao 066004, Peoples R China
Liang, Xiaolin
Lam, Yeh
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NE Univ Qinhuangdao, Qinhuangdao 066004, Peoples R China
Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R ChinaNE Univ Qinhuangdao, Qinhuangdao 066004, Peoples R China
Lam, Yeh
Li, Zehui
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Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R ChinaNE Univ Qinhuangdao, Qinhuangdao 066004, Peoples R China