Fuzzy evaluation model for lifetime performance of electronic products with redundant backup systems.
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| Title: | Fuzzy evaluation model for lifetime performance of electronic products with redundant backup systems. |
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| Authors: | Chen, Kuen-Suan1,2,3 (AUTHOR) kuensuan.chen@gmail.com, Yu, Chun-Min1 (AUTHOR) yu2013000@gmail.com, Tsaur, Ruey-Chyn4 (AUTHOR) rctsaur@mail.tku.edu.tw |
| Source: | Annals of Operations Research. Jun2025, Vol. 349 Issue 1, p207-217. 11p. |
| Subjects: | Electronic equipment, Back up systems, Energy conservation, Product failure, Carbon emissions |
| Abstract: | Enhancing product quality and reliability can not only increase product value but also reduce rework and scrap rates and lengthen failure-induced maintenance schedules, thereby decreasing maintenance rates. When electronic products have no spare electronic components, their lifetime equals the lifetime of their components. With electronic components that have overly short lifespans on average, redundant backup systems are a way of increasing electronic product reliability. In other words, when spares are available for electronic components, in the case of failure the product can switch over to the spare immediately. This paper proposes an electronic product lifetime performance index with m - 1 redundant backup electronic components. Then, we find a uniformly minimum variance unbiased estimator (UMVUE) for the proposed index. Furthermore, we develop for this index a uniformly most powerful (UMP) test and formulate a fuzzy testing approach based on its confidence interval. The proposed approach makes it convenient for the industry to evaluate and predominate improvement opportunities and increase product reliability so as to conserve energy and reduce carbon emissions. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185470206 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fuzzy evaluation model for lifetime performance of electronic products with redundant backup systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Kuen-Suan%22">Chen, Kuen-Suan</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> kuensuan.chen@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Yu%2C+Chun-Min%22">Yu, Chun-Min</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yu2013000@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Tsaur%2C+Ruey-Chyn%22">Tsaur, Ruey-Chyn</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> rctsaur@mail.tku.edu.tw</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>. Jun2025, Vol. 349 Issue 1, p207-217. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electronic+equipment%22">Electronic equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Back+up+systems%22">Back up systems</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+conservation%22">Energy conservation</searchLink><br /><searchLink fieldCode="DE" term="%22Product+failure%22">Product failure</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+emissions%22">Carbon emissions</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Enhancing product quality and reliability can not only increase product value but also reduce rework and scrap rates and lengthen failure-induced maintenance schedules, thereby decreasing maintenance rates. When electronic products have no spare electronic components, their lifetime equals the lifetime of their components. With electronic components that have overly short lifespans on average, redundant backup systems are a way of increasing electronic product reliability. In other words, when spares are available for electronic components, in the case of failure the product can switch over to the spare immediately. This paper proposes an electronic product lifetime performance index with m - 1 redundant backup electronic components. Then, we find a uniformly minimum variance unbiased estimator (UMVUE) for the proposed index. Furthermore, we develop for this index a uniformly most powerful (UMP) test and formulate a fuzzy testing approach based on its confidence interval. The proposed approach makes it convenient for the industry to evaluate and predominate improvement opportunities and increase product reliability so as to conserve energy and reduce carbon emissions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10479-023-05591-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 207 Subjects: – SubjectFull: Electronic equipment Type: general – SubjectFull: Back up systems Type: general – SubjectFull: Energy conservation Type: general – SubjectFull: Product failure Type: general – SubjectFull: Carbon emissions Type: general Titles: – TitleFull: Fuzzy evaluation model for lifetime performance of electronic products with redundant backup systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Kuen-Suan – PersonEntity: Name: NameFull: Yu, Chun-Min – PersonEntity: Name: NameFull: Tsaur, Ruey-Chyn IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 349 – Type: issue Value: 1 Titles: – TitleFull: Annals of Operations Research Type: main |
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