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首页> 外文会议>Americas conference on information systems;AMCIS 2008 >A Fuzzy Logic Approach to Prove Bullwhip Effect in Supply Chains
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A Fuzzy Logic Approach to Prove Bullwhip Effect in Supply Chains

机译：证明供应链中牛鞭效应的模糊逻辑方法

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摘要

The bullwhip effect in nowadays Supply Chains has become a major source of problems and has attracted supply chain scientists attentions. This paper explores the concept of bullwhip effect in supply chains throughout a completely new approach. Assuming all demands are fuzzy in supply chain, fuzzy If-Then rules are used to show the bullwhip effect. Application of fuzzy logic is due to the fuzzy nature of supply chain problems. The new approach can be the source of inspiration for new solutions to the bullwhip effect in supply chains base on fuzzy logic and fuzzy If-Thcn rules. Fuzzy time series are widely used in this paper. First for data generation, we apply a modified version of Hwang fuzzy time series with a neural network for defuzzification and finally to show the bullwhip effect, we use Lee fuzzy time scries which is based on Fuzzy If-Then rules, Genetic Algorithm and Simulated Annealing.
机译：如今，供应链中的牛鞭效应已成为问题的主要根源，并引起了供应链科学家的关注。本文通过一种全新的方法探讨了供应链中牛鞭效应的概念。假设供应链中的所有需求都是模糊的，则使用模糊的If-Then规则来显示牛鞭效应。模糊逻辑的应用是由于供应链问题的模糊性质。新方法可能是基于模糊逻辑和模糊If-Thcn规则的供应链牛鞭效应新解决方案的灵感来源。模糊时间序列在本文中得到了广泛的应用。首先用于数据生成，我们使用带有神经网络的Hwang模糊时间序列的修改版进行去模糊处理，最后显示牛鞭效应，我们使用基于Fuzzy If-Then规则，遗传算法和模拟退火的Lee模糊时间序列。

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