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Statistical Analysis of Product Warranty Data

Author

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  • J.F. Lawless

Abstract

Data bases regarding warranty claims for manufactured products record claims experience and information about concomitant factors. If constructed and maintained properly, warranty data bases may be used for a variety of purposes that include the prediction of future claims, the comparison of claims experience for different groups of products, the estimation of field reliability, and the identification of opportunities for quality and reliability improvement. This paper reviews some methods of analyzing warranty data and of addressing these objectives. Some extensions of previous work and suggestions for future development are included. Examples involving warranty claims for automobiles and regrigerators are considered. Les bases de données portant sur les réclamations des garanties de produits usinés contiennent I'histoire des réclamations ainsi que de I'information sur des facteurs concomitants.Si ces de données sont construites et maintenues adéquatement, elles peuvent être utilisées dans une multitude de situations, incluant la prédiction des réclamations futures, la comparaison de I'histoire des réclamations pour différents groupes de produits, l'estimation de la fiabilité et l'identification d'opportuités pour améliorer la qualité et la fiabilité. cet article se veut un réultats de méthods pour analysr des donnés de garanties ainsi aue des méthodes pour atteindre ces bojetifs. De extensiousn aux résultats développés lors de travaux antérieurs sont inclus, de même des suggestions poor futurs rechrchs. Des examples impliquant des réclamations de garanties d'automobiles et de réfrigérateurs sont étudués.

Suggested Citation

  • J.F. Lawless, 1998. "Statistical Analysis of Product Warranty Data," International Statistical Review, International Statistical Institute, vol. 66(1), pages 41-60, April.
    • Handle: RePEc:bla:istatr:v:66:y:1998:i:1:p:41-60
    DOI: 10.1111/j.1751-5823.1998.tb00405.x
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    Cited by:

    1. Kathryn Wifvat & John Kumerow & Arkady Shemyakin, 2020. "Copula Model Selection for Vehicle Component Failures Based on Warranty Claims," Risks, MDPI, vol. 8(2), pages 1-15, June.
    2. Jung, M. & Bai, D.S., 2007. "Analysis of field data under two-dimensional warranty," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 135-143.
    3. Kumar Gupta, Sanjib & De, Soumen & Chatterjee, Aditya, 2017. "Some reliability issues for incomplete two-dimensional warranty claims data," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 64-77.
    4. Murthy, D. N. P. & Djamaludin, I., 2002. "New product warranty: A literature review," International Journal of Production Economics, Elsevier, vol. 79(3), pages 231-260, October.
    5. Ferencek Aljaž & Kofjač Davorin & Škraba Andrej & Sašek Blaž & Borštnar Mirjana Kljajić, 2020. "Deep Learning Predictive Models for Terminal Call Rate Prediction during the Warranty Period," Business Systems Research, Sciendo, vol. 11(2), pages 36-50, October.
    6. Wu, Shaomin, 2013. "A review on coarse warranty data and analysis," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 1-11.
    7. Andrés Christen, J. & Ruggeri, Fabrizio & Villa, Enrique, 2011. "Utility based maintenance analysis using a Random Sign censoring model," Reliability Engineering and System Safety, Elsevier, vol. 96(3), pages 425-431.
    8. Anastasiadis, Simon & Anderson, Boyd & Chukova, Stefanka, 2013. "Auto warranty and driving patterns," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 126-134.
    9. Gupta, Sanjib Kumar & De, Soumen & Chatterjee, Aditya, 2014. "Warranty forecasting from incomplete two-dimensional warranty data," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 1-13.
    10. M. R. Karim & K Suzuki, 2007. "Analysis of warranty data with covariates," Journal of Risk and Reliability, , vol. 221(4), pages 249-255, December.

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