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Coordination by sharing demand forecasts in a supply chain using game theoretic approach

机译:使用博弈论方法通过共享供应链中的需求预测进行协调

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Through the literature, authors give a considerable attention to game theory because of its wide range of applications in various fields including economics, political science, psychology or biology. The aim of this case study is to employ game theoretic approach to model information sharing as a coordination mechanism in a basic two-echelon supply chain composed of a single retailer and a single supplier. This paper is the sequel of previous works; where demand is forecasted based on historical data of a supermarket in Morocco using the Multi Layer Perceptron structure of the artificial neural networks. Nevertheless, this work focuses on the implementation of the obtained forecasting results in the studied system modeled as a game of two players with asymmetric and imperfect information, in order to find the equilibrium of the game that guaranties maximum payoff for both players. In fact, this is what game theory is all about.
机译:通过文献,由于博弈论在经济学,政治学,心理学或生物学等各个领域的广泛应用,作者对博弈论给予了极大的关注。本案例研究的目的是采用博弈论方法来模型化信息共享,作为由单个零售商和单个供应商组成的基本两级供应链中的协调机制。本文是先前作品的续集;根据摩洛哥一家超市的历史数据,使用人工神经网络的多层感知器结构预测需求。然而,这项工作着重于在所研究的系统中实现获得的预测结果的实现,该系统被建模为具有不对称和不完美信息的两个玩家的博弈,以便找到确保两个玩家获得最大回报的博弈均衡。实际上,这就是博弈论的全部内容。

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