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October 20, 20251 citationsOpen Access

Determination of Optimum Warranty Region for Two Dimensional Dependent Data

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RDRathin DasTSTanmay SenIndian Institute of Technology PatnaRBRitwik BhattacharyaThe University of Texas at El Paso

Key Points

  • Maximizing expected utility defines the optimal warranty region for age and mileage data, improving cost effectiveness.
  • Using a bivariate Gumbel copula, the study models warranty scenarios with free replacement and prorata policies.
  • The analysis utilized a real-world dataset of traction motors to derive significant insights into warranty costs.
  • Considering a two-dimensional warranty cost function provided the highest utility among analyzed scenarios.

Abstract

This paper presents a method for determining the optimal two-dimensional warranty region for age and mileage scales across all possible combinations of free replacement warranty (FRW), prorata warranty (PRW), and FRW-PRW combined policies. The operational time or lifetime and usage of the products are modeled using a bivariate Gumbel copula with Weibull as the marginal distribution. The optimal warranty region is derived by maximizing an expected utility function, which incorporates two cost components: the economic benefit function and the warranty cost function, specifically constructed for the two-dimensional warranty scenario. To obtain the optimal warranty region, a real-world dataset of traction motors, including age and mileage information, is analyzed. The results show that considering a two-dimensional warranty cost function yields the highest utility compared to all other scenarios.

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Cite This Study

Das et al. (2025) studied this question.

synapsesocial.com/papers/68f6379bb481a140a36cf6abhttps://doi.org/10.48550/arxiv.2506.15152
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