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.
Highlights
Due to the aggravation of global warming and climate change, environmental problems have driven more and more concern from people, stakeholders, and governments
A hybrid multi-criteria decision-making (MCDM) model was developed in [20] to support the green supplier selection process based on interval-valued intuitionistic uncertain linguistic sets, best–worst method (BWM), and alternative queuing method (AQM)
In this paper, we introduced a new green supplier evaluation and selection model based on heterogeneous information and the multi-attributive border approximation area comparison (MABAC) method
Summary
Due to the aggravation of global warming and climate change, environmental problems have driven more and more concern from people, stakeholders, and governments. Through selecting appropriate green suppliers, firms can balance economic-based supplier capabilities, as well as social and environmental capabilities, contributing to their strategic competitive advantages In this context, a growing number of studies have investigated supplier selection problems incorporating sustainability criteria in recent decades [12,13,14]. The green performance values on different criteria are described by heterogeneous information in the forms of LHFSs, TFNs, interval numbers, and real numbers. According to the above discussions, we aim to develop an extended MABAC model to determine the best green supplier with heterogeneous criteria information In this model, LHFSs, TFNs, interval numbers, and real numbers are jointly employed to express the performance evaluations of alternative green suppliers with respect to different criteria. For the basic concepts of LHFSs, TFNs, and interval numbers, we refer the interested readers to [16,19,35,36], respectively
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