IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v221y2007i4p249-255.html
   My bibliography  Save this article

Analysis of warranty data with covariates

Author

Listed:
  • M. R. Karim
  • K Suzuki

Abstract

The reliability characteristics of automobile components depend on factors or covariates such as the automobile operating environment (e.g. temperature, rainfall, humidity, etc.), usage conditions, manufacturing periods, types of automobile that use the components, etc. In recent years, many automotive manufacturing companies utilize the warranty database as a very rich source of field reliability data that provides valuable information on such covariates for feedback to new product development systems on product performance in actual usage conditions. In the warranty database, the information on those covariates is known for the components that fail within the warranty period and are unknown for the censored components. This article considers covariates associated with some reliability-related factors and presents a Weibull regression model for the lifetime of the component as a function of such covariates. The expectation maximization (EM) algorithm is applied to obtain the ML estimates of the parameters of the model because of incomplete information on covariates. An example based on real field data of an automobile component is given and simulation studies are conducted to illustrate the use of the proposed method.

Suggested Citation

  • M. R. Karim & K Suzuki, 2007. "Analysis of warranty data with covariates," Journal of Risk and Reliability, , vol. 221(4), pages 249-255, December.
    • Handle: RePEc:sae:risrel:v:221:y:2007:i:4:p:249-255
    DOI: 10.1243/1748006XJRR56
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1243/1748006XJRR56
    Download Restriction: no
    File URL: https://libkey.io/10.1243/1748006XJRR56?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. J.F. Lawless, 1998. "Statistical Analysis of Product Warranty Data," International Statistical Review, International Statistical Institute, vol. 66(1), pages 41-60, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Shaomin, 2013. "A review on coarse warranty data and analysis," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 1-11.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Wu, Shaomin, 2013. "A review on coarse warranty data and analysis," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 1-11.
    3. Zhao, Xiujie & He, Shuguang & Xie, Min, 2018. "Utilizing experimental degradation data for warranty cost optimization under imperfect repair," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 108-119.
    4. Appelbaum, Elie, 1992. "Bankruptcy, Warranties and the Firm's Capital Structure," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(2), pages 399-412, May.
    5. Zhou, Chongwen & Chinnam, Ratna Babu & Dalkiran, Evrim & Korostelev, Alexander, 2017. "Bayesian approach to hazard rate models for early detection of warranty and reliability problems using upstream supply chain information," International Journal of Production Economics, Elsevier, vol. 193(C), pages 316-331.
    6. Luo, Ming & Wu, Shaomin, 2019. "A comprehensive analysis of warranty claims and optimal policies," European Journal of Operational Research, Elsevier, vol. 276(1), pages 144-159.
    7. Wang, Xiaolin & Liu, Bin & Zhao, Xiujie, 2021. "A performance-based warranty for products subject to competing hard and soft failures," International Journal of Production Economics, Elsevier, vol. 233(C).
    8. Hyoung Jun Kim & Su Jung Jee & So Young Sohn, 2021. "Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-17, April.
    9. Joaquín Coleff, 2020. "Can consumer complaints reduce product reliability? Should we worry?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(1), pages 74-96, January.
    10. Liu, Yiliu & Liu, Zixian & Wang, Yukun, 2013. "Customized warranty offering for configurable products," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 1-7.
    11. Darghouth, M.N. & Ait-kadi, D. & Chelbi, A., 2017. "Joint optimization of design, warranty and price for products sold with maintenance service contracts," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 197-208.
    12. Coleff, Joaquín, 2011. "Product reliability, consumers’ complaints and market performance: the case of consumers’ associations," UC3M Working papers. Economics we1121, Universidad Carlos III de Madrid. Departamento de Economía.
    13. Wang, Xiaolin & Li, Lishuai & Xie, Min, 2020. "An unpunctual preventive maintenance policy under two-dimensional warranty," European Journal of Operational Research, Elsevier, vol. 282(1), pages 304-318.
    14. Sezgin Çağlar Aksezer, 2023. "Sustainability via Extended Warranty Contracts: Design for a Consumer Electronics Retailer," Sustainability, MDPI, vol. 16(1), pages 1-11, December.
    15. 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.
    16. Zhu, Xiaoyan & Jiao, Can & Yuan, Tao, 2019. "Optimal decisions on product reliability, sales and promotion under nonrenewable warranties," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    17. Mitra, Amitava, 2021. "Warranty parameters for extended two-dimensional warranties incorporating consumer preferences," European Journal of Operational Research, Elsevier, vol. 291(2), pages 525-535.
    18. Wei Xie & Haitao Liao, 2013. "Some aspects in estimating warranty and post‐warranty repair demands," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(6), pages 499-511, September.
    19. Vergara, Marcos & Bonilla, Claudio A. & Sepulveda, Jean P., 2016. "The complementarity effect: Effort and sharing in the entrepreneur and venture capital contract," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1017-1025.
    20. Kirkizoğlu, Zeynep & Karaer, Özgen, 2022. "After-sales service and warranty decisions of a durable goods manufacturer," Omega, Elsevier, vol. 113(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:221:y:2007:i:4:p:249-255. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.