Cited 14 time in
An interval programming model for continuous improvement in micro-manufacturing
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ouyang, Linhan | - |
| dc.contributor.author | Ma, Yizhong | - |
| dc.contributor.author | Wang, Jianjun | - |
| dc.contributor.author | Tu, Yiliu | - |
| dc.contributor.author | Byun, Jai-Hyun | - |
| dc.date.accessioned | 2022-12-26T18:18:59Z | - |
| dc.date.available | 2022-12-26T18:18:59Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.issn | 0305-215X | - |
| dc.identifier.issn | 1029-0273 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/13266 | - |
| dc.description.abstract | Continuous quality improvement in micro-manufacturing processes relies on optimization strategies that relate an output performance to a set of machining parameters. However, when determining the optimal machining parameters in a micro-manufacturing process, the economics of continuous quality improvement and decision makers' preference information are typically neglected. This article proposes an economic continuous improvement strategy based on an interval programming model. The proposed strategy differs from previous studies in two ways. First, an interval programming model is proposed to measure the quality level, where decision makers' preference information is considered in order to determine the weight of location and dispersion effects. Second, the proposed strategy is a more flexible approach since it considers the trade-off between the quality level and the associated costs, and leaves engineers a larger decision space through adjusting the quality level. The proposed strategy is compared with its conventional counterparts using an Nd:YLF laser beam micro-drilling process. | - |
| dc.format.extent | 15 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | TAYLOR & FRANCIS LTD | - |
| dc.title | An interval programming model for continuous improvement in micro-manufacturing | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1080/0305215X.2017.1317765 | - |
| dc.identifier.scopusid | 2-s2.0-85021132987 | - |
| dc.identifier.wosid | 000423746200003 | - |
| dc.identifier.bibliographicCitation | ENGINEERING OPTIMIZATION, v.50, no.3, pp 400 - 414 | - |
| dc.citation.title | ENGINEERING OPTIMIZATION | - |
| dc.citation.volume | 50 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 400 | - |
| dc.citation.endPage | 414 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Operations Research & Management Science | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
| dc.subject.keywordPlus | SURFACE OPTIMIZATION | - |
| dc.subject.keywordPlus | DESIGN OPTIMIZATION | - |
| dc.subject.keywordPlus | QUALITY | - |
| dc.subject.keywordPlus | ALGORITHM | - |
| dc.subject.keywordPlus | VARIANCE | - |
| dc.subject.keywordAuthor | Continuous quality improvement | - |
| dc.subject.keywordAuthor | interval analysis | - |
| dc.subject.keywordAuthor | economic design | - |
| dc.subject.keywordAuthor | dual response surface | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
