Warranty cost analysis for products with a dormant state

Wu, Shaomin; Li, Huiqing

doi:10.1016/j.ejor.2006.09.056

Cited by 25 publications

(14 citation statements)

References 10 publications

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“…Research has been extensively conducted to evaluate warranty related decision problems in consideration of periodic PM policies. For example, Park et al [36] considered a periodic PM policy along with minimal repairs after breakdowns, and derived the optimal period and number of PM actions, Seo and Bai [32] depicted a periodic PM policy for two cases in which the time of PM can be ignored or not, and others [15], [19]- [21], [42], and [47].…”

Section: Decision Of Optimal Warranty Proportionmentioning

confidence: 99%

A Cost Sharing Warranty Policy for Products With Deterioration

Huang¹,

Fang²

2009

IEEE Trans. Eng. Manage.

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Warranties play an important role for marketing products in the intensly competitive market, since an attractive policy can dramatically increase market share. However, offering an unlimited warranty with intent to monopolize the market is unrealistic because of the extremely high cost for maintaining such a policy. This paper considers a decision problem under the policy of a pro-rata warranty (PRW), and a Bayesian decision model in determining the optimal warranty proportion is proposed, where a periodic preventive maintenance (PM) program is performed during the warranty term to slow down the product deterioration, and a nonhomogeneous Poisson process is employed to describe the successive breakdown times of the deteriorating product. The proposed approach provides decision-making techniques, not only for taking action in the light of all available relevant information, but also for maximizing expected profits. Finally, an application case is utilized to demonstrate the feasibility and validity of the proposed approach, and sensitivity analyses regarding the important factors that may have impacts on the warranty proportion are also discussed.Index Terms-Bayesian analysis, deterioration, minimal repair, nonhomogeneous poisson process (NHPP), power law intensity.

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Section: Decision Of Optimal Warranty Proportionmentioning

confidence: 99%

A Cost Sharing Warranty Policy for Products With Deterioration

Huang¹,

Fang²

2009

IEEE Trans. Eng. Manage.

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“…He does not consider the situation that products may age and deteriorate when the products are not used. Wu and Clements-Croome (2007) studies burn-in policies for systems with dormant states, and Wu and Li (2007) consider warranty policies for repairable systems. So far, little research has been found on warranty cost analysis for nonrepairable products with a dormant state.…”

Section: Introductionmentioning

confidence: 99%

Warranty cost analysis for nonrepairable services products

Xie

2008

International Journal of Systems Science

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Many service products are installed in a complex system that is operated only when the entire system is completed. The time from their installation to commissioning, called a dormant state in this article, may take several years for systems such as complete buildings or aircraft. Warranties for the products may cover the time starting from their installation to a certain time. Warranty cost on replacements for such products is different from normal products without any dormant state. This article analyses the replacement cost for nonrepairable services products from a manufacturer perspective. We consider four warranty policies, which include two types of warranty terms (i.e., nonrenewing or renewing) and two types of replacements (i.e., with preventive replacement or replacement only upon failures). Relationships between the failure patterns at the dormant state and at the operating state are also discussed. Numerical examples and sensitivity analysis are presented to demonstrate the applicability of the methodology described in this article.

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“…This is an example of a three‐state system. Warranty cost analysis for such systems has been studied by Wu and Li and Wu and Xie, where similar systems with dormant, operating and failed states have been considered. These studies discuss three‐state building services systems.…”

Section: Introductionmentioning

confidence: 99%

Warranty Claims Data Analysis Considering Sales Delay

Akbarov¹,

Wu²

2012

Quality & Reliability Eng

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Sales delay is the time interval from the date of manufacture to the date of sale. In analysing 5 warranty claims data, the existing research relating to the sales delay has mainly focused 6 on estimating the probability distribution of the sales delay. Longer sales delay may lead 7 to more warranty claims as it can have an impact on the post-sale reliability of products. However, research into this problem has received little attention. 9This paper estimates the expected number of warranty claims under both renewing and 10 non-renewing warranty policies taking into account the sales delay. We consider the case 11 with three states, the sales delay state, the operating state and the failed state. We extend 12 the three state case into an n state system case, where n ≥ 3. We then give numerical exam-13 ples to demonstrate the application of the derived equations. We also present a simulation 14 and a case study were we estimate the reliability of products with three states.

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Warranty cost analysis for products with a dormant state

Cited by 25 publications

References 10 publications

A Cost Sharing Warranty Policy for Products With Deterioration

A Cost Sharing Warranty Policy for Products With Deterioration

Warranty cost analysis for nonrepairable services products

Warranty Claims Data Analysis Considering Sales Delay

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