A general age-replacement model with minimal repair under renewing free-replacement warranty

Chien, Yu‐Hung

doi:10.1016/j.ejor.2007.02.030

Cited by 58 publications

(17 citation statements)

References 27 publications

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“…Chen and Chien 9 developed a framework to study continuous preventive maintenance (PM) actions for a product sold under RFRW and determined optimal PM strategies from the buyer's and the seller's perspectives. Chien and Chen 10 and Chien 11 further extended the problem considered by Yeh et al 7 to the case of repairable products. Many other authors also studied the renewing policy; see Nguyen and Murthy 12,13 , Sheu and Chien 14 , and Mi 15 .…”

Section: Introductionmentioning

confidence: 92%

A new warranty strategy: Combining a renewing free‐replacement warranty with a rebate policy

Chien

2008

Quality & Reliability Eng

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In this paper, a new warranty policy is proposed and analyzed for repairable products. This policy combines a renewing free-replacement warranty with a rebate policy. Under this combined policy, the warranty period is partitioned into two intervals. If a product fails during the first interval, the seller replaces the product with a new or repaired product, and the warranty begins anew for the replacement. If a product fails in the second interval, the seller refunds a pre-specified proportion of the sales price. We derive conditions under which the combined policy is cost-effective from the perspective of the seller. A numerical example is presented and a sensitivity analysis is performed. Our results imply that reduced demand due to higher prices can be offset with a longer warranty period. Finally, the future extension as well as the practical application of this warranty policy is discussed through an informal survey.

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Section: Introductionmentioning

confidence: 92%

A new warranty strategy: Combining a renewing free‐replacement warranty with a rebate policy

Chien

2008

Quality & Reliability Eng

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“…After a complete replacement, the procedure is repeated. Under this model, the design variable is the age for preventive replacement T [34].…”

Section: Problem Definition and Its Assumptionsmentioning

confidence: 99%

“…The general age-replacement model in which minimal repair or replacement takes place is presented in [34] according to the following scheme. If the product fails at age x < T, it is either replaced by a new one with probability p(0 < p < 1) at a downtime cost C d > 0 and a purchasing cost C p > 0 (unplanned replacement), or it undergoes minimal repair with probability 1-p, at a repair cost C m > 0.…”

Section: Problem Definition and Its Assumptionsmentioning

confidence: 99%

A multi-objective approach to simultaneous determination of spare part numbers and preventive replacement times

Nosoohi

Hejazi

2011

Applied Mathematical Modelling

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a b s t r a c tDifferent models have been proposed in the field of preventive maintenance planning for finding optimal age replacement policies. While previous studies have focused mainly on classical cost objectives, this paper presents a novel multi-objective model for preventive replacement of a part over a planning horizon. The proposed model considers different objectives and practical issues, such as corrective replacement and its consequences, residual lifetime objective, and kind of productivity index. Also, the model determines number of spare parts, required for replacement with the defected part, to be provided at the beginning of the planning horizon. The multi-objective model is applicable for machines or equipments which are repaired through replacing their defected part with new spare part.For solving the multi-objective model, regarding to ability of e-constraint method to generate different pareto-optimal solutions, a procedure is developed based on this method.The procedure shows how the e-constraint method can be used for finding preferred solution in situations where there is no access to decision maker. The model and solution procedure are illustrated by a numerical example.

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“…However, for such highly reliable products, it is not an easy task to assess the product reliability within short test durations because sufficient lifetime data are generally required to precisely estimate product's lifetime (failure time, time-to-failure) distribution. Precise reliability estimation is an important part of subsequent managerial decisions such as determining the burn-in time (Sheu & Chien, 2005;Tsai, Tseng, & Balakrishnan, 2011;Ye, Shen, & Xie, 2012), establishing a warranty or maintenance policy (Chien, 2008;Jung & Park, 2003), or pricing extended warranties. To increase the likelihood of observing failures, Accelerated Life Test (ALT) is commonly used by exposing and testing products under a higher stressed condition (e.g., higher temperature, voltage, pressure, vibration, electric current, etc.).…”

Section: Introductionmentioning

confidence: 99%

Optimum step-stress accelerated degradation test for Wiener degradation process under constraints

Lee

Tang

2015

European Journal of Operational Research

121

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A general age-replacement model with minimal repair under renewing free-replacement warranty

Cited by 58 publications

References 27 publications

A new warranty strategy: Combining a renewing free‐replacement warranty with a rebate policy

A new warranty strategy: Combining a renewing free‐replacement warranty with a rebate policy

A multi-objective approach to simultaneous determination of spare part numbers and preventive replacement times

Optimum step-stress accelerated degradation test for Wiener degradation process under constraints

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