Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이영해 | - |
dc.date.accessioned | 2020-11-24T02:08:28Z | - |
dc.date.available | 2020-11-24T02:08:28Z | - |
dc.date.issued | 2003-05 | - |
dc.identifier.citation | 대한산업공학회 춘계공동학술대회 논문집, page. 259-262 | en_US |
dc.identifier.uri | http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01966208? | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/155753 | - |
dc.description.abstract | The purpose of this study is designing intelligent supplier management system with selected criteria for monitoring and evaluating suppliers by the information. As suppliers keep changing their performance continuously according to the environment and with the passage of time, Companies need to monitor suppliers' condition continuously and choose the suitable action. This study considers a framework of supply chain management system using neural networks for ongoing partnership with criteria of supplier performance. The intelligent supplier management system that this study suggests can offer the supplier evaluation criteria for monitoring and more efficient supply chain management can be expected for cost reduction of supply chain management with this system. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 대한산업공학회 | en_US |
dc.title | SCM에서의 공급자 관리를 위한 신경망을 이용한 지능적 방법 | en_US |
dc.title.alternative | An intelligent appoach for managing suppliers in SCM using neural networks | en_US |
dc.type | Article | en_US |
dc.contributor.googleauthor | 한현수 | - |
dc.contributor.googleauthor | 이영해 | - |
dc.contributor.googleauthor | 조민관 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING | - |
dc.identifier.pid | yhlee | - |
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