Surajit Pal
Indian Statistical Institute
41 Papers
64 Citations
Surajit Pal is an academic researcher from Indian Statistical Institute. The author has contributed to research in topics: Warranty & Taguchi methods. The author has an hindex of 12, co-authored 34 publications. Previous affiliations of Surajit Pal include Tata Institute of Fundamental Research.
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Papers
An application of Gumbel's bivariate exponential distribution in estimation of warranty cost of motor cycles
Surajit Pal,G.S.R. Murthy +1 more
TL;DR: In this article, the authors present an application of Gumbel's bivariate exponential distribution model in the context of estimating warranty costs of motor cycles under a new warranty policy, where the repair costs (termed as warranty costs) of a motorcycle during the age of first six months or within the usage of 8,000 kilometers are borne by the company.
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Multi-Response Optimization Using Multiple Regression–Based Weighted Signal-to-Noise Ratio (MRWSN)
Surajit Pal,Susanta Kumar Gauri +1 more
TL;DR: In this article, a new method for optimization of multiple responses is proposed, which combines multiple regression technique with the Taguchi signal to noise ratio method, which is simpler than most multiple regression techniques and produces supe..
48
A use-rate based failure model for two-dimensional warranty
TL;DR: The problem of constructing probability model for product failure instances indexed by two scales, namely, age and usage, and how use-rate affects life is considered, to propose a model that applies to models that apply to components or parts.
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Assessing effectiveness of the various performance metrics for multi-response optimization using multiple regression
Surajit Pal,Susanta Kumar Gauri +1 more
TL;DR: In this paper, the authors examined the effectiveness of five performance metrics that are used for optimization of multiple response problems and compared the usefulness of these performance metrics with respect to a utility measure, namely, the expected total non-conformance (NC).
35
Optimal determination of warranty region for 2D policy: a customers' perspective
TL;DR: A methodology to determine the optimal region when customers' utility is measured by the length of warranty coverage time is proposed and it is believed that the results will help the manufacturer to provide improved customer service.
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