In this research, the aim is to find the most appropriate inventory management logic and set of rules along with the optimal decision values that will minimize the bullwhip effect in a supply chain, taking the beer game supply chain as a reference model. In order to achieve this, a simulation model of the beer game supply chain is developed along with an ordering strategy based on the Economic Order Quantity with additional rules, such as no backorder policy, vendor-managed inventory, and taking into consideration route deliveries, all of which are implemented in the ordering algorithm. In the literature, there is extensive research conducted on the causes of the bullwhip effect and in the presence of certain inventory management policies. However, these terms are rarely combined with simulation modeling to provide satisfactory proven results. In this article, our proposed ordering algorithm avoids the bullwhip effect to a very large extent. The results show that approximately half the cost is incurred compared to recent studies with the same settings.

中文翻译：

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最小化供应链中的牛鞭效应：使用啤酒游戏的模拟方法

在本研究中，以啤酒游戏供应链为参考模型，旨在找到最合适的库存管理逻辑和规则集以及将供应链中的牛鞭效应最小化的最佳决策值。为了实现这一点，开发了啤酒游戏供应链的模拟模型以及基于经济订单数量的订购策略以及附加规则，例如无缺货政策，供应商管理库存，并考虑路线交付，所有这些都在排序算法中实现。在文献中，对牛鞭效应的成因和在某些库存管理政策的存在下进行了广泛的研究。然而，这些术语很少与仿真建模相结合以提供令人满意的证明结果。在本文中，我们提出的排序算法在很大程度上避免了牛鞭效应。结果表明，与使用相同设置的最近研究相比，产生了大约一半的成本。