Rahul Chougule

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We propose a novel association and text mining system for knowledge discovery (ASTEK) from the warranty and service data in the automotive domain. The complex architecture of modern vehicles makes fault diagnosis and isolation a non-trivial task. The association mining isolates anomaly cases from the millions of service and claims records. ASTEK has shown(More)
This paper proposes a novel method for using the service (field failure) data of consumer vehicles to estimate customer perception. To achieve this, relevant variables are extracted from the vehicle service data and provided as input to the proposed algorithm which then comes up with an optimized mathematical model for predicting the Customer Satisfaction(More)
In the body shop of an automobile assembly plant, having access to correct and timely diagnostic information is very important for solving equipment and tooling maintenance problems. Variation Reduction Adviser (VRA) is an internal General Motors (GM) system that contains information related to the problems encountered in process, their root cause and(More)
Consumer-oriented companies are getting increasingly more sensitive about customer's perception of their products, not only to get a feedback on their popularity, but also to improve the quality and service through a better understanding of design issues for further development. However, a consumer's perception is often qualitative and is achieved through(More)
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