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Modeling and Simulation of a Centralized Supply Chain Distribution System for a Single Product in Uncertain Demand

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Zhi-gao Liao

    (Guangxi University of Science and Technology)

  • Xi-gang Yuan

    (Guangxi University of Science and Technology)

  • Xiao-qing Zhang

    (Guangxi University of Science and Technology)

Abstract

This paper describes modeling and simulation of a centralized supply chain distribution system for a single product in uncertain demand. A supply chain distribution system cost optimization model is developed in this concern, which includes multiple manufacturers, multiple distribution centers and multiple retailers. To provide a more realistic model structure, decision makers’ thinks that the distribution centers and retailers appears out of stock at the same time. With the MatLab 2010(a) carrying on the model, analyzing the influence which the order proportions and transportation cost in distribution centers and retailers to the supply chain distribution system total cost. As a result, on the one hand, when the order proportion is in the middle, the total cost is in the lowest level in supply chain distribution system. On the other hand, the order proportion is up and down, the total cost is no obvious change in supply chain distribution system. On the contrary, when the transportation cost usually is in the middle, the total cost is the lowest level in supply chain distribution system.

Suggested Citation

  • Zhi-gao Liao & Xi-gang Yuan & Xiao-qing Zhang, 2013. "Modeling and Simulation of a Centralized Supply Chain Distribution System for a Single Product in Uncertain Demand," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 203-217, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40072-8_20
    DOI: 10.1007/978-3-642-40072-8_20
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