供应链中牛鞭效应的混沌同步

Zhang Lei, Yi-jun Li, Yaoxuan Xu
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引用次数: 24

摘要

供应链是一个复杂的非线性系统,其中混沌现象普遍存在。本文用提出的三梯队理论框架对供应链管理进行建模,表明在一定条件下,供应链管理可以转化为洛伦兹状态方程,并产生混沌。本文进一步深入探讨了供应链混沌系统中牛鞭效应的成因和负面影响。利用径向基函数(RBF)神经网络参数训练方法来抑制牛鞭效应,提出了混沌同步控制器的设计方法。仿真测试表明,该方法是有效的,因为它有助于减少和减轻牛鞭效应,并为理论和实践提供额外的见解
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chaos Synchronization of Bullwhip Effect in a Supply Chain
Supply chain is a complex and nonlinear system in which chaos is in general prevalent. This article models the supply chain management with a proposed tri-echelon theoretical framework, showing that it can be transformed into Lorenz equation of state under certain conditions and chaos arises. This article moves one step deeper into the causes and negative impacts of bullwhip effect in a supply chain chaos system. The radial basis function (RBF) neural network parameter - training approach is utilized to dampen bullwhip effect and the methodology is presented for the design of chaos synchronization controller in this article. Simulation test demonstrates that this methodology is effective in that it helps reduce and mitigate bullwhip effect and provide additional insights into theory and practice
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