Imperfect maintenance policies for warranted products under stochastic performance degradation
Zhao, Xiujie and Liu, Bin and Xu, Jianyu and Wang, Xiao-Lin (2023) Imperfect maintenance policies for warranted products under stochastic performance degradation. European Journal of Operational Research, 308 (1). pp. 150-165. ISSN 0377-2217 (https://doi.org/10.1016/j.ejor.2022.11.001)
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Abstract
Both customers and manufacturers benefit from warranties that effectively guarantee products’ performance with reasonable price and cost. Reliability-oriented degradation analysis has boosted the accuracy of lifetime prediction in the past decades and prompted additional maintenance and warranty options to manufacturers. In this paper, we present a systematic framework that aims to optimize imperfect maintenance policies for warranted products subject to stochastic performance degradation. We propose a novel objective-oriented imperfect repair scheme, and consider two scenarios corresponding to different types of products/systems. In the first one, warranties are claimed by customers in a random manner driven by performance degradation, whereas in the second one, the manufacturer offers periodic inspection services to customers and implements imperfect repairs if necessary. In both scenarios, we derive critical closed-form results to facilitate computation and optimization, from which managerial insights are gleaned. We find that (i) the randomness in customers’ claiming behaviors leads to remarkably more conservative warranty policies in which repairs are suggested to be more substantial; and (ii) the variable objective repair level in the imperfect repair exercise can effectively reduce the total maintenance cost over a finite warranty period. Overall, this work will equip practitioners with quantitative tools to prescribe optimal maintenance policies for warranted degrading products in various practical scenarios.
ORCID iDs
Zhao, Xiujie, Liu, Bin ORCID: https://orcid.org/0000-0002-3946-8124, Xu, Jianyu and Wang, Xiao-Lin;-
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Item type: Article ID code: 83077 Dates: DateEvent1 July 2023Published6 November 2022Published Online1 November 2022AcceptedSubjects: Social Sciences > Industries. Land use. Labor > Risk Management Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 07 Nov 2022 12:53 Last modified: 11 Nov 2024 13:41 URI: https://strathprints.strath.ac.uk/id/eprint/83077