The research on the optimal control strategy of a serial supply chain based on GA

  • Authors:

  • Min Huang;Jianqin Ding;W. H. Ip;K. L. Yung;Zhonghua Liu;Xingwei Wang

  • Affiliations:

  • Faculty of Information Science and Engineering, Northeastern University, P.R. China;Faculty of Information Science and Engineering, Northeastern University, P.R. China;Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong;Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong;Faculty of Information Science and Engineering, Northeastern University, P.R. China;Faculty of Information Science and Engineering, Northeastern University, P.R. China

  • Venue:
  • ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
  • Year:
  • 2006

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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.