International Journal of Environment Science and Technology
Center for Environment and Energy Research and Studies (CEERS)
Vol. 12, No. 12, 2015, pp. 3863-3876
Bioline Code: st15364
Full paper language: English
Document type: Research Article
Document available free of charge
International Journal of Environment Science and Technology, Vol. 12, No. 12, 2015, pp. 3863-3876
© Copyright 2015 - International Journal of Environment Science and Technology
Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers|
Kuo, R. J.; Hsu, C. W. & Chen, Y. L.
Previous studies have proven that enterprises
addressing green supply chain management problem may
produce an apparent improvement to their stockholder interests.
According to the report of Kearney (Carbon Disclosure
Project: supply chain report 2010. CDP, London,
2010), more than 80 % of the carbon emissions are generated
from the suppliers’ activities in a company’s performance.
Many members of the project claimed that they
will reassess their suppliers as soon as possible. Therefore,
to combine the carbon management issue and supplier
evaluating problem turns to be a very crucial work.
Therefore, this study intends to develop a framework of the
supplier evaluating process for carbon management by
integrating fuzzy ANP and fuzzy TOPSIS approaches.
Thirteen criteria of carbon management under four dimensions
were identified by literature review and modified
according to the opinion of seven experts in the environmental
department. The model result in a case company
shows that three of the most important criteria are ‘‘carbon
governance,’’ ‘‘carbon policy’’ and ‘‘carbon reduction targets.’’
The proposed hybrid methodology has great ability
to explain the vagueness of decision maker’s expression
and better discrimination power to evaluate suppliers in
Supplier evaluation; Fuzzy ANP; Fuzzy TOPSIS; Carbon management
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