DocumentCode
1830623
Title
Notice of Retraction
Green supplier selection consensus by neural network
Author
Thongchattu, C. ; Siripokapirom, S.
Author_Institution
Ind. Eng. Dept., Naresuan Phayao Univ., Phayao, Thailand
Volume
2
fYear
2010
fDate
1-3 Aug. 2010
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.
This paper contributed a green supply chain supplier selection model by using an Analytical Hierarchy Process (AHP) which allows the decision maker to structure complex problems. The framework involve a number of difference criteria based on Company Reliability, Material Quality, Material Price, Environmental Project and standard for environmental management systems (ISO14000). The final decision evaluation problem is how to consensus important weight for each criterion, this paper proposes the consensus final decision by neural network technique by minimize a limitation error set.
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.
This paper contributed a green supply chain supplier selection model by using an Analytical Hierarchy Process (AHP) which allows the decision maker to structure complex problems. The framework involve a number of difference criteria based on Company Reliability, Material Quality, Material Price, Environmental Project and standard for environmental management systems (ISO14000). The final decision evaluation problem is how to consensus important weight for each criterion, this paper proposes the consensus final decision by neural network technique by minimize a limitation error set.
Keywords
ISO standards; decision making; environmental management; neural nets; reliability; supply chains; analytical hierarchy process; company reliability; decision maker; environmental management systems standard; environmental project; final decision evaluation problem; green supply chain supplier selection; limitation error set; material price; material quality; neural network; Biological system modeling; Educational institutions; ISO; ISO standards; Lead; Materials reliability; Analytical Hierarchy Process (AHP); Neural Network; Supplier Selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanical and Electronics Engineering (ICMEE), 2010 2nd International Conference on
Conference_Location
Kyoto
Print_ISBN
978-1-4244-7479-0
Type
conf
DOI
10.1109/ICMEE.2010.5558417
Filename
5558417
Link To Document