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Coordinating of multi-echelon supply chains through the generalized (R, S) policy

机译:通过广义(R,S)政策协调多偏振供应链

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Numerous studies have confirmed the negative impact of the lack of coordination on supply chain performance. In particular, the lack of coordination leads to the bullwhip effect, which has severe impacts on supply chain stability. This paper evaluates a proposed coordination mechanism that allows a decentralized information sharing in multi-echelon supply chains. The proposed mechanism "Info-Smooth" utilizes the ordering rule of the generalized (R, S) policy in which a replenishment order can be transferred to upstream echelons including two pieces of information (demand forecast and inventory balance). As the generalized (R, S) can allow order smoothing, Info-Smooth combines the power of both information sharing and order smoothing. A simulation modeling methodology is employed to investigate the effectiveness of Info-Smooth in a multi-echelon supply chain. The factorial design results have shown that Info-Smooth is successful in mitigating the bullwhip effect whilst keeping acceptable inventory stability, compared to the traditional supply chain model.
机译:许多研究证实了缺乏协调对供应链绩效的负面影响。特别是,缺乏协调导致牛鞭效应,这对供应链稳定性产生了严重影响。本文评估了拟议的协调机制,允许在多梯队供应链中分散信息共享。拟议的机制“信息流畅”利用广义(R,S)政策的订购规则,其中可以将补货订单转移到上游梯队,包括两条信息(需求预测和库存余额)。由于广义(R,S)可以允许订单平滑,信息平滑结合了信息共享和顺序平滑的功率。采用仿真建模方法来研究多梯队供应链中信息光滑的有效性。因子设计结果表明,与传统供应链模型相比,信息流畅的牛鞭效应使得牛鞭效应变得越来越多。

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