Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment

Xue-Guo Xu, Hua Shi, Li-Jun Zhang and Hu-Chen Liu
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Xue-Guo Xu: School of Management, Shanghai University, Shanghai 200444, China
Hua Shi: School of Management, Shanghai University, Shanghai 200444, China
Li-Jun Zhang: School of Management, Shanghai University, Shanghai 200444, China
Hu-Chen Liu: College of Economics and Management, China Jiliang University, Hangzhou 310018, China

Sustainability, 2019, vol. 11, issue 23, 1-16

Abstract: With the increasing awareness of global environmental protection, green production has become a significant part for enterprises to remain in a competitive position. For a manufacturing company, selecting the most suitable green supplier plays an important role in enhancing its green production performance. In this paper, we develop a new green supplier evaluation and selection model through the combination of heterogeneous criteria information and an extended multi-attributive border approximation area comparison (MABAC) method. Considering the complexity of decision context, heterogeneous information, including real numbers, interval numbers, trapezoidal fuzzy numbers, and linguistic hesitant fuzzy sets, is utilized to evaluate alternative suppliers with respect to the selected criteria. A maximizing consensus approach is constructed to determine the weight of each decision-maker based on incomplete weighting information. Then, the classical MABAC method is modified for ranking candidate green suppliers under the heterogeneous information environment. Finally, the developed green supplier selection model is applied in a case study from the automobile industry to illustrate its practicability and efficiency.

Keywords: green supplier selection; MABAC method; heterogeneous information; linguistic hesitant fuzzy set; incomplete weight information (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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