There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 6020 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 6009 | - |
dc.citation.title | JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY | - |
dc.citation.volume | 33 | - |
dc.contributor.author | Oh, YeongGwang | - |
dc.contributor.author | Buslgi, Moise | - |
dc.contributor.author | Ransilkarbum, Kasin | - |
dc.contributor.author | Shin, Dongmin | - |
dc.contributor.author | Kwon, Daeil | - |
dc.contributor.author | Kim, Namhun | - |
dc.date.accessioned | 2023-12-21T18:15:24Z | - |
dc.date.available | 2023-12-21T18:15:24Z | - |
dc.date.created | 2019-12-07 | - |
dc.date.issued | 2019-12 | - |
dc.description.abstract | The quality monitoring and control (QMC) has been an essential process in the manufacturing industries. With the advancements in data analytics, machine-learning based QMC has become popular in various manufacturing industries. At the same time, the cost effectiveness (CE) of the QMC is perceived as a main decision criterion that explicitly accounts for inspection efforts and has a direct relationship with the QMC capability. In this paper, the cost-effective support vector machine (CESVM)-based automated QMC system (QMCS) is proposed. Unlike existing models, the proposed CESVM explicitly incorporates inspection-related expenses and error types in the SVM algorithm. The proposed automated QMCS is verified and validated using an automotive door-trim manufacturing process. Next, we perform a design of experiment to assess the sensitivity analysis of the proposed framework. The proposed model is found to be effective and could be viewed as an alternative or complementary tool for the traditional quality inspection system. |
- |
dc.identifier.bibliographicCitation | JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.33, no.12, pp.6009 - 6020 | - |
dc.identifier.doi | 10.1007/s12206-019-1145-9 | - |
dc.identifier.issn | 1738-494X | - |
dc.identifier.scopusid | 2-s2.0-85077169808 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/30565 | - |
dc.identifier.url | https://link.springer.com/article/10.1007%2Fs12206-019-1145-9 | - |
dc.identifier.wosid | 000504965100044 | - |
dc.language | 영어 | - |
dc.publisher | KOREAN SOC MECHANICAL ENGINEERS | - |
dc.title | Real-time quality monitoring and control system using an integrated cost effective support vector machine | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Mechanical | - |
dc.identifier.kciid | ART002529425 | - |
dc.relation.journalResearchArea | Engineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Cost effectiveness | - |
dc.subject.keywordAuthor | Cost of quality | - |
dc.subject.keywordAuthor | Machine learning | - |
dc.subject.keywordAuthor | Quality control | - |
dc.subject.keywordAuthor | SVM | - |
dc.subject.keywordPlus | SUPPLY CHAIN | - |
dc.subject.keywordPlus | WARRANTY | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | INSPECTION | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordPlus | IMPACT | - |
dc.subject.keywordPlus | SERIES | - |
dc.subject.keywordPlus | ERRORS | - |
dc.subject.keywordPlus | CYCLE | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.