Research on Chaos Synchronization of Bullwhip Effect in Supply Chain
We believe that supply chain is a complex and nonlinear system in which chaos is in general prevalent. This paper 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.
Liu Renzhong Gu Gongyun
Postdoctoral Research Center of Law East China University of Political Science and Law Shanghai, P.R.China
国际会议
2011 International Conference on Product Innovation Management(第六届产品创新管理国际会议)
武汉
英文
398-401
2011-07-16（万方平台首次上网日期，不代表论文的发表时间）