Cited 0 time in
Capturing and reusing knowledge in engineering change management: A case of automobile development
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Hong Joo | - |
| dc.contributor.author | Ahn, Hyung Jun | - |
| dc.contributor.author | Kim, Jong Woo | - |
| dc.contributor.author | Park, Sung Joo | - |
| dc.date.accessioned | 2022-12-21T09:51:45Z | - |
| dc.date.available | 2022-12-21T09:51:45Z | - |
| dc.date.issued | 2006-12 | - |
| dc.identifier.issn | 1387-3326 | - |
| dc.identifier.issn | 1572-9419 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/180744 | - |
| dc.description.abstract | The development of complex products, such as automobiles, involves engineering changes that frequently require redesigning or altering the products. Although it has been found that efficient management of knowledge and collaboration in engineering changes is crucial for the success of new product development, extant systems for engineering changes focus mainly on storing documents related to the engineering changes or simply automating the approval processes, while the knowledge that is generated from collaboration and decision-making processes may not be captured and managed easily. This consequently limits the use of the systems by the participants in engineering change processes. This paper describes a model for knowledge management and collaboration in engineering change processes, and based on the model, builds a prototype system that demonstrates the model's strengths. We studied a major Korean automobile company to analyze the automobile industry's unique requirements regarding engineering changes. We also developed domain ontologies from the case to facilitate knowledge sharing in the design process. For achieving efficient retrieval and reuse of past engineering changes, we used a case-based reasoning (CBR) with a concept-based similarity measure. | - |
| dc.format.extent | 20 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Kluwer Academic Publishers | - |
| dc.title | Capturing and reusing knowledge in engineering change management: A case of automobile development | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1007/s10796-006-9009-0 | - |
| dc.identifier.scopusid | 2-s2.0-33846135714 | - |
| dc.identifier.wosid | 000243396900005 | - |
| dc.identifier.bibliographicCitation | Information Systems Frontiers, v.8, no.5, pp 375 - 394 | - |
| dc.citation.title | Information Systems Frontiers | - |
| dc.citation.volume | 8 | - |
| dc.citation.number | 5 | - |
| dc.citation.startPage | 375 | - |
| dc.citation.endPage | 394 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
| dc.subject.keywordPlus | EUROPEAN AUTOMOTIVE INDUSTRY | - |
| dc.subject.keywordPlus | VIRTUAL TEAM WORKING | - |
| dc.subject.keywordPlus | CHANGE ORDERS | - |
| dc.subject.keywordPlus | SEMANTIC WEB | - |
| dc.subject.keywordPlus | SYSTEM | - |
| dc.subject.keywordPlus | CONTEXT | - |
| dc.subject.keywordPlus | FIRM | - |
| dc.subject.keywordAuthor | automobile development | - |
| dc.subject.keywordAuthor | case-based reasoning | - |
| dc.subject.keywordAuthor | engineering change management | - |
| dc.subject.keywordAuthor | knowledge capturing | - |
| dc.subject.keywordAuthor | knowledge reuse | - |
| dc.subject.keywordAuthor | semantic web | - |
| dc.identifier.url | https://link.springer.com/article/10.1007/s10796-006-9009-0 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
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.
