An Optimal Decision Rule for Repair vs Replacement

Muth, Eginhard J.

doi:10.1109/tr.1977.5220108

Cited by 96 publications

(27 citation statements)

References 3 publications

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“…Later Muth [23] considered the same policy. A generalization of policy 3 is investigated by Tahara and Nishida [36]: POLICY 4: The system is maintained according to policy 3.…”

Section: Ta(t) -A(t) = Cp/cmentioning

confidence: 99%

A unifying treatment of replacement policies with minimal repair

Beichelt

1993

Naval Research Logistics

102

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“…Later Muth [23] considered the same policy. A generalization of policy 3 is investigated by Tahara and Nishida [36]: POLICY 4: The system is maintained according to policy 3.…”

Section: Ta(t) -A(t) = Cp/cmentioning

confidence: 99%

A unifying treatment of replacement policies with minimal repair

Beichelt

1993

Naval Research Logistics

102

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“…In fact, we can see that if (/*, T) is an optimal pair nünimizing B (t, T), then (10) of which proof will be presented at the end of this section. …”

Section: P(t) + H(t)q(t)>(c R -C P )Q(t) and C R >H(t)>0 Formentioning

confidence: 96%

“…The long-run expected cost per unit time of the policy is derived and optimization results are obtained for the infinite-horizon case. As special cases, various results are obtained from Barlow and Hunter [2], Tahara and Nishida [15], Boland [7], Boland and Proschan [8], Cléroux, Dubuc, and Tilquin [9], Berg, Bienvenu and Cléroux [4], Block, Borges and Savits [6], Sheu [14], Muth [10], and Bai and Yun [1].…”

Section: F T (X)=f(t+x)if{f)mentioning

confidence: 99%

Extended optimal age replacement policy with minimal repair

Sheu¹,

Kuo²,

Nakagawa³

1993

RAIRO-Oper. Res.

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“…Love et al (1982) and Love and Guo (1996) consider repair limit problems in vehicle replacement cases. Nakagawa and Osaki (1974), Osaki (1981, 1982), Muth (1977), and Murthy (1980, 1981) derive the optimal repair-time limits minimizing the expected cost rates with and without discounting. Dohi et al (1995Dohi et al ( , 1996Dohi et al ( , 1997Dohi et al ( , 1998Dohi et al ( , 2000aDohi et al ( , 2000bDohi et al ( , 2001aDohi et al ( , 2001bDohi et al ( , 2003aDohi et al ( , 2003bDohi et al ( , 2006Dohi et al ( , 2007Dohi et al ( , 2010 deal with cost and profit models in repair time limit problems with and without discounting.…”

Section: Introductionmentioning

confidence: 99%

A Repair-Time Limit Replacement Model with Imperfect Repair

Chung¹,

Yun²

2013

Journal of Korean Institute of Industrial Engineers

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불완전 수리에서의 수리시간한계를 가진 교체모형This article concerns a profit model in a repair limit replacement problem with imperfect repair. If a system fails, we should decide whether we repair the failed system (repair option) or replace it by new one (replacement option with a lead time). We assume that repair times are random variables and can be estimated before repair with estimation error. If the estimated repair time is less than the specified limit (repair time limit), the failed unit is repaired but the unit after repair is different from the new one (imperfect repair). Otherwise, we order a new unit to replace the failed unit. The long run average profit (expected profit rate) is used as an optimization criterion and the optimal repair time limit maximizes the expected profit rate. Some special cases are derived.

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An Optimal Decision Rule for Repair vs Replacement

Cited by 96 publications

References 3 publications

A unifying treatment of replacement policies with minimal repair

A unifying treatment of replacement policies with minimal repair

Extended optimal age replacement policy with minimal repair

A Repair-Time Limit Replacement Model with Imperfect Repair

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