Statistical evaluation demonstrates timely detection of rate shifts in automobile warranty claims, suggesting earlier identification of emerging product quality defects.
Manufacturers monitor products in field use with respect to the quality and reliability of their performance, and warranty claims data are one valuable source of information. Updated warranty claims data are examined periodically by manufacturers, and formal monitoring procedures are a useful adjunct that can help identify emerging problems. This article presents cusum procedures for monitoring claims, designed to allow changes in claim rates to be detected in as timely a manner as possible. The determination of plans with given signal probabilities under nominal and increased rates is based on Markov chain calculations which are easy to implement. The procedures are motivated by and illustrated on warranty claims for North American automobiles. This article has online supplementary material.
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Lawless et al. (2012) studied this question.
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