2020
DOI: 10.3390/su13010088
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Research on Sustainable Supplier Selection Based on the Rough DEMATEL and FVIKOR Methods

Abstract: In competitive global markets, sustainable suppliers are critical success factors for sustainable supply chain operations. Sustainable supplier selection must be based on a complex network of numerous indicators and experts’ fuzzy linguistic terms. Considering the correlation between the evaluation criteria and the ambiguity of the criteria values, this paper proposes combining the rough DEMATEL method and the fuzzy VIKOR (FVIKOR) method to solve sustainable supplier selection problem. We determine 15 sustaina… Show more

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Cited by 38 publications
(27 citation statements)
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References 45 publications
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“…Memari et al [40] used 30 sustainable criteria for supplier evaluation of automotive spare parts manufacturers. Zhang et al [41] used 15 sustainable criteria that can effectively improve enterprise supply chain performance. Once the sustainable criteria for supplier selection have been identified, the next step is evaluating the suppliers based on these criteria.…”
Section: Sustainable Supplier Selectionmentioning
confidence: 99%
“…Memari et al [40] used 30 sustainable criteria for supplier evaluation of automotive spare parts manufacturers. Zhang et al [41] used 15 sustainable criteria that can effectively improve enterprise supply chain performance. Once the sustainable criteria for supplier selection have been identified, the next step is evaluating the suppliers based on these criteria.…”
Section: Sustainable Supplier Selectionmentioning
confidence: 99%
“…[ 107 ] proposed a green supplier evaluation model under the uncertain environment and used a hesitant fuzzy TOPSIS method for the model. [ 108 ] considered different supplier evaluation criteria and ambiguities in criteria values while solving a sustainable supplier selection problem using DEMATEL and Fuzzy VIKOR methods. [ 7 ] proposed a model for evaluating the impact of green credit rating and its implications in SCM.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For instance, Li and Xu 39 utilized the important degree C i to determine the weights of criteria, i.e., w i = C i / false i = 1 m C i . Simultaneously, the criteria weights can be obtained by the important degree C i and the cause degree D i , that is, the composite weight of y i is w i = C i 2 + D i 2 / false i = 1 m C i 2 + D i 2 44 …”
Section: Preliminariesmentioning
confidence: 99%