A New Extension to a Multi-Criteria Decision-Making Model for Sustainable Supplier Selection under an Intuitionistic Fuzzy Environment

Abstract

The increase of environmental pollution has led to the rise of sustainable awareness in recent years. This trend has motivated various industries to recognize the importance of implementing sustainable supply chain practices to seek economic, environmental and social advantages. From a sustainability perspective, selecting a suitable supplier is the main component of modern enterprises. It is also a challenging problem since several criteria concerning supplier selection are interdependent with a complex character. Therefore, the contribution of this paper is a new extension to multi-criteria decision-making model (MCDM) under an intuitionistic fuzzy environment for sustainable supplier selection (SSS) based on sustainable supply chain management SSCM practices. It consists of intuitionistic fuzzy set theory (IFS) with a decision making trial and evaluation laboratory (DEMATEL) combined with an analytic network process (ANP) to identify uncertainties and interdependencies among criteria as well as analyzing the criteria weights. We modified Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to evaluate and rank the desired level of sustainable supplier performance. The suggested approach is conducted by a case study from the Thailand palm oil industry. Results show that the proposed model not only can find the most suitable sustainable supplier, but also the enterprises can aid their suppliers in improving sustainability by using the proposed method and can improve enterprises’ socio-environmental performance, which is key to achieving sustainable development.

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

“…Gupta et al (2019) proposed an MCDM framework based on the fuzzy AHP, MABAC, WASPAS and TOPSIS to evaluate green suppliers. Phochanikorn and Tan (2019) proposed an MCDM model consisting of the intuitionistic fuzzy DEMATEL, ANP and VIKOR for sustainable supplier selection. Wu et al (2019) built a model combining the fuzzy DEMATEL with the fuzzy ANP to determine the global weights of SC paradigms and practices and developed their impact relation map.…”

An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances

“…For instance, Stević et al [24] introduced the measurement of alternatives and ranking according to compromise solution (MARCOS) method for sustainable supplier selection in healthcare industries. Introducing new extensions to existing multicriteria decision-making models such as the extended TOPSIS method by Yu et al [25] are also gaining popularity for solving specific sustainability problems [26][27][28]. Furthermore, there are integrated approaches that include multiple MCDM techniques to deal with such problems; for example, the integrated grey based multicriteria decision-making approach for the evaluation of renewable energy sources developed by Çelikbilek and Tüysüz [29].…”

Supplier Selection in the Nuclear Power Industry with an Integrated ANP-TODIM Method under Z-Number Circumstances

“…However, very few scholars paid attention to the selection of nuclear power equipment suppliers, except for Yang and Wu et al [38,39]. In a recent study, researchers focused on supplier selection in the agricultural industry [40], construction industry [41], and manufacturing industry [42]. Nevertheless, with the restarting of global nuclear power, the equipment suppliers of nuclear power projects have shown a large-scale growth trend every year.…”

“…(4) Enterprise qualification (C 4 ). The qualification of an enterprise is closely related to its financial status, market condition, and industry influence [39,40,45]. In reality, buyers always look to strengthening cooperation with suppliers with a higher credit reputation and industry ranking.…”