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|a (JST)822747
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|a DE-627
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|e rakwb
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|a eng
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|a Shirmohammadi, A. H.
|e verfasserin
|4 aut
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|a An Optimal Maintenance Policy for Skipping Imminent Preventive Maintenance for Systems Experiencing Random Failures
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|c 2003
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|a Text
|b txt
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|a In this study we investigate systems that experience random failures and establish decision rules for performing renewal maintenance; that is, a preventive replacement (PR) policy. We seek a policy that is both simple to execute from the point of view of the maintenance planner but also a policy that is an improvement on existing schemes. We show that our policy is a hybrid of traditional time-based and age-based schemes and one that yields considerable cost savings. Our hybrid policy involves two decision variables. One decision variable is the time between PRs. Hence, for the maintenance planner, the times at which PRs are performed are chronologically fixed. Random failures can occur, however, and the machine receives an emergency renewal (ER) at these times. Hence, within these chronological times, a second decision time is identified. Should an ER occur between the start of a cycle and this second decision time, then the planned PR would still be performed at the end of the cycle. However, if the first ER occurs after this second decision time, then the PR at the end of the cycle is skipped over and the next planned PR would take place at the end of the subsequent cycle. With this simple mechanism, PRs that follow on too closely after an ER are avoided, thus saving the unnecessary expense. Numerical examples are given to examine the validity of the model, using four different failure density functions, namely Weibull, normal, uniform, and negative exponential.
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|a Copyright 2003 Operational Research Society Ltd
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|a Preventive replacement
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|a Emergency replacements
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|a Fixed cycle times
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|a Renewal theory
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|a Economics
|x Economic disciplines
|x Financial economics
|x Insurance
|x Insurance payouts
|x Replacement value
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|a Health sciences
|x Health care industry
|x Health information
|x Biostatistics
|x Biometrics
|x Human physical characteristics
|x Age
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|a Applied sciences
|x Engineering
|x Systems engineering
|x Reliability engineering
|x Maintenance
|x Preventive maintenance
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|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Decision theory
|x Operations research
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Distribution functions
|x Probability distributions
|x Continuous probability distributions
|x Density distributions
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|a Business
|x Accountancy
|x Financial accounting
|x Business expenses
|x Fixed costs
|x Committed fixed costs
|x Occupancy costs
|x Maintenance costs
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|a Applied sciences
|x Engineering
|x Systems engineering
|x Reliability engineering
|x Maintenance
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|a Arts
|x Performing arts
|x Music
|x Music theory
|x Musical pitch
|x Musical intervals
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|a Business
|x Business economics
|x Commercial production
|x Production factors
|x Production costs
|x Unit costs
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|a Business
|x Accountancy
|x Financial accounting
|x Business expenses
|x Variable costs
|x Theoretical Papers
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|a research-article
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|a Love, C. E.
|e verfasserin
|4 aut
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|a Zhang, Z. G.
|e verfasserin
|4 aut
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|i Enthalten in
|t The Journal of the Operational Research Society
|d Taylor & Francis, Ltd.
|g 54(2003), 1, Seite 40-47
|w (DE-627)320465098
|w (DE-600)2007775-0
|x 14769360
|7 nnns
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|g volume:54
|g year:2003
|g number:1
|g pages:40-47
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|u https://www.jstor.org/stable/822747
|3 Volltext
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|d 54
|j 2003
|e 1
|h 40-47
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