4.5 Article

An Integrated Fuzzy Carbon Management-Based Model for Suppliers' Performance Evaluation and Selection in Green Supply Chain Management

Journal

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
Volume 22, Issue 2, Pages 712-723

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s40815-019-00759-y

Keywords

Supplier selection; Green supply chain management; Carbon management; FPP; FVIKOR

Ask authors/readers for more resources

Assessing suppliers based on green focused attributes is a critical issue recently implemented by industries due to increasing community knowledge about global warming and climate change. Carbon management is a new branch of green supplier selection which focuses on other aspects of environmental issues. This study integrates a new fuzzy modification of Analytical Hierarchy Process (AHP) known as Fuzzy Preference Programming (FPP) with Fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) to assess suppliers' performance with respect to carbon management criteria. Four dimensions and twelve criteria have been selected based on previous studies and experts' opinions. Linguistic variables are employed to gather the experts' opinions about the importance degree of the dimensions and corresponding attributes. Subsequently, the importance weights of each dimension and its corresponding criteria are computed by using FPP. The performance ratings of the suppliers based on the determined criteria are collected under a fuzzy environment using linguistic variables. Then, FVIKOR is applied to obtain the overall environmental performance with respect to carbon management attributes. Through a case study in a textile company, the performance scores of its suppliers were elicited in accordance with this procedure. Finally, validation and managerial implications show that the developed model is robust and applicable.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available