시뮬레이션 최적화 방법을 이용한 다단계 공급망 재고 관리

Multi-Stage Supply Chain Inventory Control Using Simulation Optimization

  • 유장선 (연세대학교 정보산업공학과) ;
  • 김신태 (연세대학교 정보산업공학과) ;
  • 홍성록 (연세대학교 정보산업공학과) ;
  • 김창욱 (연세대학교 정보산업공학과)
  • Yoo, Jang-Sun (Department of Information and Industrial Engineering, Yonsei University) ;
  • Kim, Shin-Tae (Department of Information and Industrial Engineering, Yonsei University) ;
  • Hong, Seong-Rok (Department of Information and Industrial Engineering, Yonsei University) ;
  • Kim, Chang-Ouk (Department of Information and Industrial Engineering, Yonsei University)
  • 투고 : 2007.06.07
  • 심사 : 2008.11.26
  • 발행 : 2008.12.31

초록

In the present manufacturing environment, the appropriate decision making strategy has a significance and it should count on the fast-changing demand of customers. This research derives the optimal levels of the decision variables affecting the inventory related performance in multi-stage supply chain by using simulation and genetic algorithm. Simulation model helps analyze the customer service level of the supply chain computationally and the genetic algorithm searches the optimal solutions by interaction with the simulation model. Our experiments show that the integration approach of the genetic algorithm with a simulation model is effective in finding the solutions that achieve predefined target service levels.

키워드

참고문헌

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