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

Lian Qi () and Lingjia Su
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Lian Qi: BEIHANG University
Lingjia Su: BEIHANG University

A chapter in LISS 2012, 2013, pp 345-354 from Springer

Abstract: 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.

Keywords: Ordering strategy; Parameter control; System dynamics; Genetic algorithm (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_51

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DOI: 10.1007/978-3-642-32054-5_51

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