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Bibliographic Details
Main Authors: Sen, Tanmay, Das, Rathin, Bhattacharya, Ritwik
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2509.10421
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author Sen, Tanmay
Das, Rathin
Bhattacharya, Ritwik
author_facet Sen, Tanmay
Das, Rathin
Bhattacharya, Ritwik
contents Warranty policies play a crucial role in balancing customer satisfaction and cost of the manufacturer. Traditional one-dimensional warranty frameworks, based solely on either age or usage, often fail to capture the joint effect of product life factors. This article investigates two-dimensional warranty policies by combining Free Replacement Warranty, Pro-Rata Warranty, and Combination FRW-PRW Warranty schemes across both age and usage scales. A dissatisfaction cost function is proposed alongside the economic benefit and warranty cost functions, and the expected utility framework is employed to derive optimal warranty parameters. The expectation is taken with respect to the posterior predictive distribution of product lifetime and usage data, ensuring a data-driven approach. Finally, the methodology is validated using an open-source dataset, and a new two-dimensional starter motor dataset is introduced to demonstrate the practical advantages of adopting two-dimensional warranty policies.
format Preprint
id arxiv_https___arxiv_org_abs_2509_10421
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Bayesian Optimum Warranty Region for Right Censored Two Dimensional Dependent Data
Sen, Tanmay
Das, Rathin
Bhattacharya, Ritwik
Applications
Warranty policies play a crucial role in balancing customer satisfaction and cost of the manufacturer. Traditional one-dimensional warranty frameworks, based solely on either age or usage, often fail to capture the joint effect of product life factors. This article investigates two-dimensional warranty policies by combining Free Replacement Warranty, Pro-Rata Warranty, and Combination FRW-PRW Warranty schemes across both age and usage scales. A dissatisfaction cost function is proposed alongside the economic benefit and warranty cost functions, and the expected utility framework is employed to derive optimal warranty parameters. The expectation is taken with respect to the posterior predictive distribution of product lifetime and usage data, ensuring a data-driven approach. Finally, the methodology is validated using an open-source dataset, and a new two-dimensional starter motor dataset is introduced to demonstrate the practical advantages of adopting two-dimensional warranty policies.
title Bayesian Optimum Warranty Region for Right Censored Two Dimensional Dependent Data
topic Applications
url https://arxiv.org/abs/2509.10421