Optimal warranty period design for new products subject to degradation and environmental shocks considering imperfect maintenance
•A warranty period design framework is proposed for new products without field data.•Dynamic shock impacts and imperfect repair scenarios are comprehensively considered.•The effect of imperfect repair on failure numbers and warranty cost is analyzed.•Relaxing maintenance requirements appropriately b...
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Published in | Reliability engineering & system safety Vol. 256; p. 110710 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
01.04.2025
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Abstract | •A warranty period design framework is proposed for new products without field data.•Dynamic shock impacts and imperfect repair scenarios are comprehensively considered.•The effect of imperfect repair on failure numbers and warranty cost is analyzed.•Relaxing maintenance requirements appropriately boosts profit by numerical studies.
For new products, manufacturers usually aim to set a reasonable warranty period before market launch to maximize future profits. However, the lack of historical warranty claim records makes it challenging to optimize the warranty period effectively. This paper proposes a new framework to optimize the warranty period for new products based on laboratory data, considering degradation-shock competing failures and imperfect maintenance. First, a degradation-shock competing failure model for the new products is established based on laboratory accelerated degradation data. Next, the impact of imperfect maintenance on warranty costs is quantified using the maintenance improvement factor model. Then, an optimization model for the warranty period is established with the aim of maximizing the manufacturer's profit. Finally, a case study is carried out to verify the validity and applicability of the proposed model. The numerical results clearly indicate that the frequency and magnitude of shock failures significantly impact the optimal warranty period for the product. Moreover, as the mean value of the imperfect maintenance factor increases from 0.5 to 0.9, the manufacturer’s profit first rises from 6.49 to 7.79, then drops to 7.42, which means strategically relaxing maintenance requirements can lead to higher profit margins for manufacturers. |
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AbstractList | •A warranty period design framework is proposed for new products without field data.•Dynamic shock impacts and imperfect repair scenarios are comprehensively considered.•The effect of imperfect repair on failure numbers and warranty cost is analyzed.•Relaxing maintenance requirements appropriately boosts profit by numerical studies.
For new products, manufacturers usually aim to set a reasonable warranty period before market launch to maximize future profits. However, the lack of historical warranty claim records makes it challenging to optimize the warranty period effectively. This paper proposes a new framework to optimize the warranty period for new products based on laboratory data, considering degradation-shock competing failures and imperfect maintenance. First, a degradation-shock competing failure model for the new products is established based on laboratory accelerated degradation data. Next, the impact of imperfect maintenance on warranty costs is quantified using the maintenance improvement factor model. Then, an optimization model for the warranty period is established with the aim of maximizing the manufacturer's profit. Finally, a case study is carried out to verify the validity and applicability of the proposed model. The numerical results clearly indicate that the frequency and magnitude of shock failures significantly impact the optimal warranty period for the product. Moreover, as the mean value of the imperfect maintenance factor increases from 0.5 to 0.9, the manufacturer’s profit first rises from 6.49 to 7.79, then drops to 7.42, which means strategically relaxing maintenance requirements can lead to higher profit margins for manufacturers. |
ArticleNumber | 110710 |
Author | Gao, Shuai Sun, Fuqiang Li, Yanhong Zhao, Xiujie |
Author_xml | – sequence: 1 givenname: Shuai surname: Gao fullname: Gao, Shuai organization: School of Reliability and Systems Engineering, Beihang University, Beijing, PR China – sequence: 2 givenname: Fuqiang orcidid: 0000-0002-7667-7363 surname: Sun fullname: Sun, Fuqiang organization: School of Reliability and Systems Engineering, Beihang University, Beijing, PR China – sequence: 3 givenname: Xiujie orcidid: 0000-0003-3450-5480 surname: Zhao fullname: Zhao, Xiujie email: xiujiezhao@tju.edu.cn organization: College of Management and Economics, Tianjin University, Tianjin, PR China – sequence: 4 givenname: Yanhong surname: Li fullname: Li, Yanhong organization: AECC Commercial Aircraft Engine Co., LTD., Shanghai, PR China |
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Keywords | Imperfect repair Degradation-shock competing process Sensitivity analysis New product Accelerated degradation test Warranty period |
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10.1016/j.ress.2024.109973 – volume: 177 start-page: 108 year: 2018 ident: 10.1016/j.ress.2024.110710_bib0009 article-title: Utilizing experimental degradation data for warranty cost optimization under imperfect repair publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2018.05.002 |
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Snippet | •A warranty period design framework is proposed for new products without field data.•Dynamic shock impacts and imperfect repair scenarios are comprehensively... |
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SubjectTerms | Accelerated degradation test Degradation-shock competing process Imperfect repair New product Sensitivity analysis Warranty period |
Title | Optimal warranty period design for new products subject to degradation and environmental shocks considering imperfect maintenance |
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