DocumentCode :
3257415
Title :
Notice of Retraction
A proposed group decision making method for supply chain risk management under fuzzy environment
Author :
Moeinzadeh, P. ; Hajfahaliha, A.
Author_Institution :
Eng. & Constr. Dept., MAPNA Co., Tehran, Iran
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
179
Lastpage :
182
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.

Many firms implemented various initiatives such as outsourced manufacturing which could make a supply chain (SC) more vulnerable to various types of disruptions, so managing risk has become a critical component of SC management. Different types of SC vulnerability management methodologies have been proposed for managing SC risk, most offer only point-based solutions that deal with a limited set of risks. This research aims to reinforce SC risk management by proposing an integrated approach. SC risk Criteria are identified and a SC risk response selection approach developed based on the group decision making methods under the fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by triangular fuzzy numbers.
Keywords :
decision making; fuzzy set theory; outsourcing; risk management; supply chain management; firms; fuzzy environment; group decision making method; outsourced manufacturing; supply chain; supply chain risk management; triangular fuzzy numbers; Companies; Decision making; Pragmatics; Process control; Risk management; Supply chains; Fuzzy sets; Group Decision Making; Risk Response; Supply chain risk management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emergency Management and Management Sciences (ICEMMS), 2011 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9665-5
Type :
conf
DOI :
10.1109/ICEMMS.2011.6015649
Filename :
6015649
Link To Document :
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