Abstract
The first 18 months of warranty claims data on twenty components of a room air conditioner unit covered under a free-replacement warranty are analyzed. Analyses include preliminary data cleaning and outlier detection, data summary and description, histograms, and Pareto charts to identify most frequently failing components and failure modes, and to select data sets for further analysis. Detailed analyses applied to the selected data include analysis of variance, goodness-of-fit tests for model selection, and nonparametric methods. Time to failure at the component and product level are modeled and the results and used to estimate product reliability, predict future costs and compare alternative warranty policies.
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Notes
- 1.
An alternative approach is to divide the failures equally over all weeks of the month.
- 2.
Note, however, that these ignore the fact that we are dealing with censored data. The properties of Grubbs’ test and the outlier plots in this context are not known.
- 3.
Calculated by Minitab. Note that the absolute value of t is used in (10.2).
- 4.
Tests of goodness-of-fit will be pursued in more detail in Sect. 17.5.2.
- 5.
In fact, as noted previously, claims rate is always an underestimate of failure rate, for a number of reasons, mostly connected with failures for which claims are not filed.
- 6.
Note that this is the predicted percentage. The observed value of 4.1% is the percentage of units produced during the period of the study. Most of these units had not reached the warranty limit.
References
Blischke WR, Murthy DNP (1994) Warranty cost analysis. Marcel Dekker, New York
Blischke WR, Murthy DNP (eds) (1996) Product warranty handbook. Marcel Dekker, New York
Kalbfleisch JD, Lawless JF (1996) Statistical analysis of warranty claims data. In: Blischke WR, Murthy DNP (eds) Product warranty handbook, Chap 9. Marcel Dekker, New York
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© 2011 Springer-Verlag London Limited
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Blischke, W.R., Rezaul Karim, M., Prabhakar Murthy, D.N. (2011). Case Study 1: Analysis of Air Conditioner 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_17
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DOI: https://doi.org/10.1007/978-0-85729-647-4_17
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