Many of companies have made significant improvements for globalization and competitive business environment The supply chain management has received many attentions in the area of that business environment. The purpose of this study is to generate realistic production and distribution planning in the supply chain network. The planning model determines the best schedule using operation sequences and routing to deliver. To solve the problem a hybrid approach involving a genetic algorithm (GA) and computer simulation is proposed. This proposed approach is for: (1) selecting the best machine for each operation, (2) deciding the sequence of operation to product and route to deliver, and (3) minimizing the completion time for each order. This study developed mathematical model for production, distribution, production-distribution and proposed GA-Simulation solution procedure. The results of computational experiments for a simple example of the supply chain network are given and discussed to validate the proposed approach. It has been shown that the hybrid approach is powerful for complex production and distribution planning in the manufacturing supply chain network. The proposed approach can be used to generate realistic production and distribution planning considering stochastic natures in the actual supply chain and support decision making for companies.

Abstract
1. 서 론
2. 공급사슬네트워크 모델
    2.1 공급사슬네트워크
    2.2 기존 연구 고찰
3. 공급사슬네트워크 모델링
    3.1 공급사슬네트워크 문제
    3.2 수학적 모델링
    3.3 유전알고리즘 모델링
    3.4 시뮬레이션 모델링
4. Hybrid Approach
5. 실험 및 결과분석
    5.1 실험을 위한 가정 및 설계
    5.2 실험 결과 및 분석
6. 결 론
7. References

• 임석진(인덕대학교 산업경영공학과) | Seok-Jin Lim (Department of Technology & Systems Management, INDUK University) Corresponding Author