Title :
Notice of Retraction
Monte-carlo simulation based risk mitigation in supply networks
Author_Institution :
Sch. of Bus., Xi´an Univ. of Finance & Econ., Xi´an, China
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.
Networking is an inevitable solution to help companies make a response to dramatic changes in market environment rapidly. Such interdependence in networks presents great operating risk to all of the participants. This paper introduces the risk identification, classification and assessment of in supply networks. An optimal production and inventory location problem in supply networks under demand and transmission capacity uncertainty is presented and a Monte Carlo simulation method is used to solve this linear mix-integer stochastic programming problem. Some study cases are given at the end of the paper.
Keywords :
Monte Carlo methods; facility location; inventory management; linear programming; risk management; stochastic programming; Monte Carlo simulation method; demand capacity uncertainty; inventory location problem; linear mix-integer stochastic programming problem; optimal production; risk identification; risk mitigation; supply networks; transmission capacity uncertainty; Information services; Monte Carlo method; Risk mitigation; Stochastic programming; Supply networks;
Conference_Titel :
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6931-4
DOI :
10.1109/ICAMS.2010.5552916
