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Adaptive fuzzy vendor managed inventory control for mitigating the Bullwhip effect in supply chains

机译:自适应模糊供应商管理的库存控制,以减轻供应链中的牛鞭效应

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This paper proposes an adaptive fuzzy control application to support a vendor managed inventory (VMI). The methodology applies fuzzy control to generate an adaptive smoothing constant in the forecast method, production and delivery plan to eliminate, for example, the rationing and gaming or the Houlihan effect and the order batching effect or the Burbidge effects and finally the Bullwhip effect. The results show that the adaptive fuzzy VMI control surpasses fuzzy VMI control and traditional VMI in terms of mitigating the Bullwhip effect and lower delivery overshoots and backorders. This paper also guides management in allocating inventory by coordinating suppliers and buyers to ensure minimum inventory levels across a supply chain. Adaptive fuzzy VMI control is the main contribution of this paper.
机译:本文提出了一种自适应模糊控制应用程序来支持供应商管理的库存(VMI)。该方法在预测方法,生产和交付计划中应用模糊控制来生成自适应平滑常数,以消除例如定量配给或博弈或Houlihan效应以及订单分批效应或Burbidge效应,最后是Bullwhip效应。结果表明,在减轻牛鞭效应和降低交货超调量和延期交货方面,自适应模糊VMI控制优于模糊VMI控制和传统VMI。本文还通过协调供应商和采购商以确保整个供应链中的最低库存水平来指导管理层分配库存。自适应模糊VMI控制是本文的主要贡献。

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