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Advances in Natural Computation

Volume 4221 of the series Lecture Notes in Computer Science pp 657-665

The Research on the Optimal Control Strategy of a Serial Supply Chain Based on GA

  • Min HuangAffiliated withFaculty of Information Science and Engineering, Northeastern University
  • , Jianqin DingAffiliated withFaculty of Information Science and Engineering, Northeastern University
  • , W. H. IpAffiliated withDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University
  • , K. L. YungAffiliated withDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University
  • , Zhonghua LiuAffiliated withFaculty of Information Science and Engineering, Northeastern University
  • , Xingwei WangAffiliated withFaculty of Information Science and Engineering, Northeastern University

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Abstract

Determination of optimal control strategy is one of the key factors for a successful supply chain management. This paper focuses on the research of an inventory control strategy of a serial supply chain. First, it proposes an optimization model of an inventory control that is based on the combination of a nonlinear integer programming model and the generally used push/pull control model. Then, the optimal control strategy is ratified by the fusion of genetic algorithm and simulation analysis. Case studies have demonstrated the effectiveness of the method.

Keywords

Supply chain management (SCM) inventory control genetic algorithm push control pull control