유전자암고라즘을 이용한 공급사슬네트워크에서의 최적생산분배에 관한 연구

• 영문명: A study on the production and distribution problem in a supply chain network using genetic algorithm
• 발행기관: 한국시뮬레이션학회
• 저자명: 임석진(Lim, Seok Jin) 정석재(Jung, Suk Jae) 김경섭(Kim, Kyung Sup) 박면웅(Park, Myon Woong)
• 간행물 정보: 『한국시뮬레이션학회 논문지』제12권 제1호, 59~71쪽, 전체 13쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 2003.03.30

영문 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 involves reducing both production and disσibution 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 constraints. Considering the complexity of solving such model, we have applied the genetic algorithm approach for solving this model using a commercial genetic algorithm based optimizer. The results for computational experiments show that the real size problems we encountered can be ved in reasonable time.

목차

1. 서론

2. 생산-분배모형

3. 유전자 알고리즘의 적용

4. 실험 및 분석

5. 결론

참고문헌

키워드

suppply chain management production and distribution problem genetic algorithms