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Research on Two-Stage Supply Chain Ordering Strategy Optimization Based on System Dynamics

In: Liss 2012

Author

Listed:
  • Lian Qi

    (BEIHANG University)

  • Lingjia Su

    (BEIHANG University)

Abstract

This paper constructs a two-stage supply chain ordering model based on system dynamics, and proposes a second exponential smoothing ordering strategy for both supermarket and distribution center. With the goal of minimizing the cost of whole supply chain and the fluctuation of inventory, genetic algorithm is adopted to help improve the model simulation, which can optimize the controllable parameters in the ordering model. Simulation results show that system dynamics can better resolve the optimization problem of complex system in combination with genetic algorithm, and the ordering strategy this paper proposed has a relatively good adaptation for markets with different kinds of traits.

Suggested Citation

  • Lian Qi & Lingjia Su, 2013. "Research on Two-Stage Supply Chain Ordering Strategy Optimization Based on System Dynamics," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 345-354, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-32054-5_51
    DOI: 10.1007/978-3-642-32054-5_51
    as

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