DocumentCode
1656363
Title
Notice of Retraction
Reducing the bullwhip effect by information sharing and risk pooling
Author
Yujie Shi ; Shaorui Li
Author_Institution
Dept. of Logistics Manage., Southwestern Univ. of Finance & Econ., Chengdu, China
Volume
3
fYear
2010
Firstpage
481
Lastpage
485
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
An important phenomenon, known as the bullwhip effect, indicates that the variation of orders is amplified as one moves upstream in a supply chain. In this paper, we propose an analytical model to quantify the bullwhip effect by integrating the information sharing and the risk pooling strategies. The developed technique shows that the increase in variability across a three-stage supply chain can be reduced while information sharing and risk pooling are adopted simultaneously. Further, the numerical analysis suggests that our approach outperforms the existing approaches which employ information sharing or risk pooling separately in terms of controlling the bullwhip effect.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
An important phenomenon, known as the bullwhip effect, indicates that the variation of orders is amplified as one moves upstream in a supply chain. In this paper, we propose an analytical model to quantify the bullwhip effect by integrating the information sharing and the risk pooling strategies. The developed technique shows that the increase in variability across a three-stage supply chain can be reduced while information sharing and risk pooling are adopted simultaneously. Further, the numerical analysis suggests that our approach outperforms the existing approaches which employ information sharing or risk pooling separately in terms of controlling the bullwhip effect.
Keywords
supply chain management; bullwhip effect; information sharing; risk pooling; supply chain; bullwhip effect; information sharing; risk pooling; supply chain management;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6931-4
Type
conf
DOI
10.1109/ICAMS.2010.5553196
Filename
5553196
Link To Document