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Case Study 2: Analysis of Automobile Components Warranty Claims Data

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Warranty Data Collection and Analysis

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

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Abstract

This chapter presents an analysis of 2-D warranty claims data on a component of an automobile. The objectives of the study are to (i) present a preliminary analysis of the claims data, (ii) investigate the relationship between age and usage, (iii) select suitable probability models for age conditional on usage rate, (iv) model two variables, age and usage, using a single (composite scale) variable, and (v) discuss the managerial implications that focus on the practical use of the information regarding component reliability and warranty for cost-benefit analysis.

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Notes

  1. 1.

    More on sales lag can be found in [6] and [5].

  2. 2.

    Note that as we move from Level 3 to Level 1, we are losing information. Level 3 is detailed whereas Levels 1 and 2 are aggregated.

  3. 3.

    There are a very small (negligible) number of components on which more than one claim was filed and this information is not given in the database. As a result, each new sale/replacement is identified with a unique customer number. We use the term “customer” to correspond to the identification number.

  4. 4.

    The detailed results of ANOVA and Tukey’s multiple comparison tests are not shown here.

  5. 5.

    Regression analysis is used to find these relationships.

  6. 6.

    Calculation of the empirical distribution function (EDF) is discussed in Sect. 8.5.1.

  7. 7.

    See, for example, [8, 17, 19, 20, 21].

  8. 8.

    Level 3 analysis is not given because there are very few numbers of failures for some cases (see Tables 18.7 and 18.8) compared with huge numbers of censored observations.

  9. 9.

    Another choice can be the lognormal model for age for level 1 analysis.

  10. 10.

    Some findings and managerial implications are also pointed out in Sect. 18.4.

References

  1. Baik J, Murthy DNP, Jack N (2004) Two-dimensional failure modelling and minimal repair. Nav Res Logist 51:345ᾢ362

    Article  MathSciNet  MATH  Google Scholar 

  2. Blischke WR, Murthy DNP (eds) (1996) Product warranty handbook. Marcel dekker, Inc., New york

    Google Scholar 

  3. Iskandar BP, Blischke WR (2003) Reliability and warranty analysis of a motorcycle based on claims data. In: Blischke WR, Murthy DNP (eds) Case studies in reliability and maintenance. wiley, New york, pp 623ᾢ656

    Google Scholar 

  4. Jiang R, Jardine AKS (2006) Composite scale modeling in the presence of censored data. Reliab Eng Sys Saf 91:756ᾢ764

    Article  Google Scholar 

  5. Karim MR (2008) Modelling sales lag and reliability of an automobile component from warranty database. Int J Reliab Saf 2:234ᾢ247

    Article  Google Scholar 

  6. Karim MR, Suzuki K (2004) Analysis of field failure warranty data with sales lag. Pakistan J Statist 20:93ᾢ102

    MathSciNet  MATH  Google Scholar 

  7. Kim HG, Rao BM (2000) Expected warranty cost of a two-attribute free-replacement warranties based on a bi-variate exponential distribution. Comput Ind Eng 38:425ᾢ434

    Article  Google Scholar 

  8. Lawless JF, Hu XJ, Cao J (1995) Methods for the estimation of failure distributions and rates from automobile warranty data. Lifetime Data Anal 1:227ᾢ240

    Article  MATH  Google Scholar 

  9. Lu MW (1998) Automotive reliability prediction based on early field failure warranty data. Qual Reliab Eng Int 14:103ᾢ108

    Article  Google Scholar 

  10. Majeske KD (2003) A mixture model for automobile warranty data. Reliab Eng Sys Saf 81:71ᾢ77

    Article  Google Scholar 

  11. Manna DK, Pal S, Sinha S (2006) Optimal determination of warranty region for 2D policy: A customers’ perspective. Comput Ind Eng 50:161ᾢ174

    Article  Google Scholar 

  12. Manna DK, Pal S, Sinha S (2007) A use-rate based failure model for two-dimensional warranty. Comput Ind Eng 52:229ᾢ240

    Article  Google Scholar 

  13. Manna DK, Pal S, Sinha S (2008) A note on calculating cost of two-dimensional warranty policy. Comput Ind Eng 54:1071ᾢ1077

    Article  Google Scholar 

  14. Moskowitz H, Chun YH (1994) A Poisson regression model for two-attribute warranty policies. Nav Res Logist 41:355ᾢ376

    Article  MATH  Google Scholar 

  15. Murthy DNP, Iskandar BP, Wilson RJ (1995) two-dimensional failure free warranties: Two-dimensional point process models. Oper Res 43:356ᾢ366

    Article  MATH  Google Scholar 

  16. Pal S, Murthy GSR (2003) An application of Gumbel’s bivariate exponential distribution in estimation of warranty cost of motorcycles. Int J Qual Reliab Manag 20:488ᾢ502

    Article  Google Scholar 

  17. Rai B, Singh N (2003) Hazard rate estimation from incomplete and unclean warranty data. Reliab Eng Sys Saf 81:79ᾢ92

    Article  Google Scholar 

  18. Rai B, Singh N (2004) Modeling and analysis of automobile warranty data in presence of bias due to customer-rush near warranty expiration limit. Reliab Eng Sys Saf 86:83ᾢ94

    Article  Google Scholar 

  19. Rai B, Singh N (2005) A modeling framework for assessing the impact of new time/mileage warranty limits on the number and cost of automotive warranty claims. Reliab Eng Sys Saf 88:157ᾢ169

    Article  Google Scholar 

  20. Rai B, Singh N (2006) Customer-rush near warranty expiration limit and nonparametric hazard rate estimation from the known mileage accumulation rates. IEEE Trans Reliab 55:480ᾢ489

    Article  Google Scholar 

  21. Suzuki K, Karim MR, Wang L (2001) Statistical analysis of reliability warranty data. In: Balakrishnan N, Rao CR (eds) Handbook of statistics: advances in reliabilityᾢVolume 20. Elsevier Science, New York, pp 585ᾢ609

    Google Scholar 

  22. Yang G, Zaghati Z (2002) Two-dimensional reliability modeling from warranty data. Proc Annu Reliab Maintainab Symp 272-278

    Google Scholar 

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Author information

Authors and Affiliations

  1. 5401 Katherine Avenue, 91401-4922, Sherman Oaks, Los Angeles, CA, USA

    Wallace R. Blischke

  2. Department of Statistics, Rajshahi University, Rajshahi, Bangladesh

    M. Rezaul Karim

  3. School of Mechanical and Mining Engineering, The University of Queensland, Brisbane, QLD, 4072, Australia

    D. N. Prabhakar Murthy

Authors
  1. Wallace R. Blischke
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  2. M. Rezaul Karim
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  3. D. N. Prabhakar Murthy
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Corresponding author

Correspondence to Wallace R. Blischke .

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Blischke, W.R., Rezaul Karim, M., Prabhakar Murthy, D.N. (2011). Case Study 2: Analysis of Automobile Components Warranty Claims Data. In: Warranty Data Collection and Analysis. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-647-4_18

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  • DOI: https://doi.org/10.1007/978-0-85729-647-4_18

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-646-7

  • Online ISBN: 978-0-85729-647-4

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