Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김종수 | - |
dc.date.accessioned | 2020-11-11T06:21:16Z | - |
dc.date.available | 2020-11-11T06:21:16Z | - |
dc.date.issued | 2002-05 | - |
dc.identifier.citation | 한국산업경영시스템학회:학술대회논문집, page.203-208 | en_US |
dc.identifier.uri | https://www.koreascience.or.kr/article/CFKO200230839598282.do | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/155404 | - |
dc.description.abstract | In case of the problems with multiple plants, alternative operation sequence, alternative machine, setup time, and transportation time between plants, we need a robust methodology for the integration of process planning and scheduling in supply chain. The objective of this model is to minimize the tardiness and to maximize the resource utilization. So, we propose a multi-objective model with limited-capacity constraint. To solve this model, we develope an efficient and flexible model using adaptive genetic algorithm(AGA), compared to traditional genetic algorithm(TGA) | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국산업경영시스템학회 | en_US |
dc.title | 다중플랜트 네트워크에서의 공급사슬계획 | en_US |
dc.title.alternative | Supply chain planning in a multi-plant chain | en_US |
dc.type | Article | en_US |
dc.contributor.googleauthor | 정재혁 | - |
dc.contributor.googleauthor | 문치웅 | - |
dc.contributor.googleauthor | 김종수 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING | - |
dc.identifier.pid | pure | - |
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