Two-dimensional warranty period optimization considering the trade-off between warranty cost and boosted demand

Zhang, Zhaomin; He, Shiwei; He, Zhen; Dai, Anshu

doi:10.1016/j.cie.2019.03.014

Cited by 23 publications

(7 citation statements)

References 40 publications

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“…Among these services, quality assurance is a strategy to attract and retain customers. During the assurance period, customers can receive a repair or replacement from the company for a minimal charge [1]. Furthermore, to consolidate the automobile market dominance, automobile companies provide quality assurance service in two aspects, time and mileage, and extend the assurance period.…”

Section: Introductionmentioning

confidence: 99%

CRFormer: Complementary Reliability Perspective Transformer for Automotive Components Reliability Prediction Based on Claim Data

Park

Kim

et al. 2022

IEEE Access

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Reliability prediction has been studied in many industries for managing stocks and reducing quality assurance costs and production costs. Particularly, in the automotive industry, reliability prediction is performed based on two automobile reliability perspectives, time and mileage. To maximize cost savings, researchers attempted reliability prediction with short-term inputs. However, limited information on shortterm inputs resulted in unsatisfactory prediction results for the long warranty periods. Additionally, the overall evaluation metrics could not reflect the pattern-wise performance, such as the increasing failure patterns. This study proposes Complementary Reliability perspective Transformer (CRFormer) based on Transformer encoder to achieve enriched representations from a short-term input sequence. CRFormer fuses different automobile reliability perspective information and automobile features to compensate for the limited information on short-term input. The performance of CRFormer is evaluated based on automobile claim data accumulated over 16 years. Results showed that compared to previous methods in terms of overall, pattern-wise, and pattern similarity evaluation metrics, CRFormer achieved outstanding performance in time and mileage reliability prediction. Lastly, visualization results and survival analysis based on accurate model prediction can be used to support decision-making to reduce quality assurance costs and production costs.

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Section: Introductionmentioning

confidence: 99%

CRFormer: Complementary Reliability Perspective Transformer for Automotive Components Reliability Prediction Based on Claim Data

Park

Kim

et al. 2022

IEEE Access

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“…A 1D warranty policy is usually characterized by a calendar time interval on the age of the product, called warranty period. For example, warranties of the electronic products and domestic appliance are usually provided with a 1D warranty period in years or months [4]. In contrast, a 2D warranty policy is characterized by a 2D region, with one axis representing the product age and the other one representing the product usage [5].…”

Section: Introductionmentioning

confidence: 99%

Availability Optimization of Two-dimensional Warranty Products Under Imperfect Preventive Maintenance

et al. 2021

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“…In the researches mentioned above, the maintenance strategies combining the BW and EW take no account of the EW purchasing ratio, which may have a significant influence on the maintenance strategies for both BW and EW, since not everyone will purchase the EW contracts when the BW period expires. Furthermore, customers in the market are different in usage rates, which would have a major impact on the optimization of maintenance strategies [17,19]. Motivated by this, the study designs a customized periodic PM strategy for the customers with different usage rates, and then combines the maintenance strategies between BW and EW with the bi-level programming model, for which the warranty servicing cost of the manufacturers is minimum as a whole.…”

Section: Introductionmentioning

confidence: 99%

Customized Preventive Maintenance Strategies for Products Sold with Two-Dimensional Warranty

Dong

Wang

Men

et al. 2021

Mathematical Problems in Engineering

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Two-dimensional warranty has played a significant role in improving product quality and competitiveness. However, two-dimensional basic warranty (BW) and extended warranty (EW) have not yet been combined effectively, and the customized maintenance strategies based on the consumers’ heterogeneity have been quite limited, which result in high maintenance costs. In this paper, the possibility of reducing warranty cost over BW and EW is explored by classifying customers based on their usage rates and then offering them with customized preventive maintenance (PM) strategies. By considering the purchasing ratio of EW contracts, the PM strategies for BW and EW are closely combined by the bi-level programming model. Numerical analysis is given to show the application of the proposed warranty strategy, and the significant findings and sensitivity of the main parameters are analyzed in the end. The findings demonstrate that the customized PM strategies combining BW and EW can effectively reduce warranty costs within the warranty period and provide a scientific guidance for manufacturers to design a more reasonable PM strategy.

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Two-dimensional warranty period optimization considering the trade-off between warranty cost and boosted demand

Cited by 23 publications

References 40 publications

CRFormer: Complementary Reliability Perspective Transformer for Automotive Components Reliability Prediction Based on Claim Data

CRFormer: Complementary Reliability Perspective Transformer for Automotive Components Reliability Prediction Based on Claim Data

Availability Optimization of Two-dimensional Warranty Products Under Imperfect Preventive Maintenance

Customized Preventive Maintenance Strategies for Products Sold with Two-Dimensional Warranty

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