TY - JOUR
T1 - Imperfect Maintenance Policies for Warranted Products Under Stochastic Performance Degradation
AU - Wang, Xiaolin
AU - Zhao, Xiujie
AU - Xu, Jianyu
AU - Liu, Bin
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China (grant numbers 72002149 , 72201180 , 72032005 , 71971181 ), in part by the Ministry of Education of China under the Humanities and Social Sciences Youth Foundation (grant number 22YJC630142 ), and in part by Royal Society International Exchange Cost Share Project (grant number IECNSFC201401), and Guangdong Technology International Cooperation Project (grant number 2020A0505100024).
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2023/7/1
Y1 - 2023/7/1
N2 - 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.
AB - 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.
KW - Control limit policy
KW - Degradation modeling
KW - Imperfect repair
KW - Maintenance
KW - Warranty
UR - http://www.scopus.com/inward/record.url?scp=85142340008&partnerID=8YFLogxK
U2 - 10.1016/j.ejor.2022.11.001
DO - 10.1016/j.ejor.2022.11.001
M3 - Article
AN - SCOPUS:85142340008
SN - 0377-2217
VL - 308
SP - 150
EP - 165
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 1
ER -