한국경영과학회:학술대회논문집 (Proceedings of the Korean Operations and Management Science Society Conference)

한국경영과학회 (The Korean Operations Research and Management Science Society)
권호 표지

Genetic algorithm을 이용한 supply chain network에서의 최적생산 분배에 관한 연구

A study on the production and distribution problem in a supply chain network using genetic algorithm

  • 임석진 (연세대학교 산업시스템공학과) ;
  • 정석재 (연세대학교 산업시스템공학과) ;
  • 김경섭 (연세대학교 산업시스템공학과) ;
  • 박면웅 (한국과학기술연구원 CAD/CAM연구센터)
  • Lim Seok-jin (Department of Industrial Systems Engineering, Yonsei University) ;
  • Jung Seok-jae (Department of Industrial Systems Engineering, Yonsei University) ;
  • Kim Kyung-Sup (Department of Industrial Systems Engineering, Yonsei University) ;
  • Park Myon-Woong (CAD/CAM Research Center, Korea Institute of Science & Technology (KAIST))
  • 발행 : 2003.05.01
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초록

Recently, a multi facility, multi product and multi period industrial problem has been widely investigated in Supply Chain Management (SCM). One of the key issues in the current SCM research area involved reducing both production and distribution costs. The purpose of this study is to determine the optimum quantity of production and transportation with minimum cost in the supply chain network. We have presented a mathematical model that deals with real world factors and constructs. Considering the complexity of solving such model, we have applied the genetic algorithm approach for solving this model computational experiments using a commercial genetic algorithm based optimizer. The results show that the real size problems we encountered can be solved In reasonable time

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