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Open AccessArticle

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

1
School of Management, Shanghai University, Shanghai 200444, China
2
College of Economics and Management, China Jiliang University, Hangzhou 310018, China
3
School of Economics and Management, Tongji University, Shanghai 200092, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(23), 6616; https://doi.org/10.3390/su11236616
Received: 17 September 2019 / Revised: 17 November 2019 / Accepted: 20 November 2019 / Published: 22 November 2019
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. View Full-Text
Keywords: green supplier selection; MABAC method; heterogeneous information; linguistic hesitant fuzzy set; incomplete weight information green supplier selection; MABAC method; heterogeneous information; linguistic hesitant fuzzy set; incomplete weight information
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Xu, X.-G.; Shi, H.; Zhang, L.-J.; Liu, H.-C. Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment. Sustainability 2019, 11, 6616.

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