Notice of Violation of IEEE Publication PrinciplesResearch on beer game´s Bullwhip Effect based on system dynamics

Notice of Violation of IEEE Publication Principles

"Research on Beer Game\´s Bullwhip Effect Based on System Dynamics"
by Wang Xiao-yan and Wang Hui
in the 2010 IEEE International Emergency Management and Management Sciences (ICEMMS), August 2010, pp. 210-213

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Quantifying the Impact of a Supply Chain\´s Design Parameters on the Bullwhip Effect"
by Matloub Hussain, Paul R. Drake, and Dong. M. Lee
in the 7th Global Conference on Business & Economics October 2007

This paper describes an experiment that illustrates the challenges of supply chain management. Supply chain management involves the management of orders and shipments of goods through a supply chain; for example, shipping beer from the manufacturer to the distributor to the wholesaler and then to the retailer for sale to customers, and transmitting the orders for beer back up the supply line. The bullwhip effect is the magnification of demand fluctuations, which is evident in a supply chain when demand increases and decreases. In this paper a four-echelon supply chain is modeled and simulated by virtue of system dynamics, in which the Bullwhip effect was measured, furthermore this study presents an approach to determining the relative contribution of the design parameters in controlling demand amplification (the Bullwhip Effect). The overall aim is to give s- pply chain operations managers and designers a way to understand supply chain dynamics and the effects of design parameters and their interactions.