There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 5990 | - |
dc.citation.number | 20 | - |
dc.citation.startPage | 5976 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.citation.volume | 55 | - |
dc.contributor.author | Busogi, Moise | - |
dc.contributor.author | Ransikarbum, Kasin | - |
dc.contributor.author | Oh, Yeong Gwang | - |
dc.contributor.author | Kim, Namhun | - |
dc.date.accessioned | 2023-12-21T21:43:09Z | - |
dc.date.available | 2023-12-21T21:43:09Z | - |
dc.date.created | 2017-05-15 | - |
dc.date.issued | 2017-10 | - |
dc.description.abstract | Manufacturing systems have evolved to adopt a mixed-model assembly line enabling the production of high product variety. Although the mixed-model assembly system with semi-automation (i.e. human involvement) can offer a wide range of advantages, the system becomes very complex as variety increases. Further, while the complexity from different options can worsen the system performance, there is a lack of quantifiable models for manufacturing complexity in the literature. Thus, in this paper, we propose a novel method to quantify manufacturing choice complexity for the effective management of semi-automated systems in a mixed-model assembly line. Based on the concept of information entropy, our model considers both the options mix and the similarities between options. The proposed model, along with an illustrative case study, not only serves as a tool to quantitatively assess the impact of choice complexity on total system performance, but also provides an insight into how complexity can be mitigated without affecting the overall manufacturing throughput. | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.55, no.20, pp.5976 - 5990 | - |
dc.identifier.doi | 10.1080/00207543.2017.1319088 | - |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.scopusid | 2-s2.0-85018819409 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/22447 | - |
dc.identifier.url | http://www.tandfonline.com/doi/full/10.1080/00207543.2017.1319088 | - |
dc.identifier.wosid | 000407550700007 | - |
dc.language | 영어 | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.title | Computational modelling of manufacturing choice complexity in a mixed-model assembly line | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science | - |
dc.relation.journalResearchArea | Engineering; Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | manufacturing | - |
dc.subject.keywordAuthor | mixed-model assembly line | - |
dc.subject.keywordAuthor | choice complexity | - |
dc.subject.keywordAuthor | similarity measure | - |
dc.subject.keywordAuthor | information entropy | - |
dc.subject.keywordPlus | PRODUCT VARIETY | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | INFORMATION | - |
dc.subject.keywordPlus | SIMILARITY | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | PREDICTION | - |
dc.subject.keywordPlus | FEATURES | - |
dc.subject.keywordPlus | QUALITY | - |
dc.subject.keywordPlus | IMPACT | - |
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.