A hybrid fuzzy multi-criteria decision making model for green supplier selection

Hashemzahi, Pooria; Musa, Siti Nurmaya; Yusof, F.

doi:10.4314/jfas.v9i4s.24

Cited by 2 publications

(1 citation statement)

References 20 publications

(21 reference statements)

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“…The AHP method was utilized to estimate the criteria weights and VIKOR (VIse kriterijumsko KOmpromisno Rangiranje) method was finally used to rank the candidate suppliers. Hashemzahi et al [17] adopted the TOPSIS method under fuzzy environment to deal with a green supplier selection problem while considering several environmental issues. Qin et al [18] applied TODIM (TOmada de Decisao Interativa Multicriterio), an interactive MCDM tool, to solve a green supplier selection problem based on interval type-2 fuzzy sets.…”

Section: Literature Reviewmentioning

confidence: 99%

A Cloud Topsis Model for Green Supplier Selection

Ramakrishnan

Chakraborty

2020

FU Mech Eng

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Due to stringent governmental regulations and increasing consciousness of the customers, the present day manufacturing organizations are continuously striving to engage green suppliers in their supply chain management systems. Selection of the most efficient green supplier is now not only dependant on the conventional evaluation criteria but it also includes various other sustainable parameters. This selection process has already been identified as a typical multi-criteria group decision-making task involving subjective judgments of different participating experts. In this paper, a green supplier selection problem for an automobile industry is solved while integrating the Cloud model with the technique for order of preference by similarity to an ideal solution (TOPSIS). The adopted method is capable of dealing with both fuzziness and randomness present in the human cognition process while appraising performance of the alternative green suppliers with respect to various evaluation criteria. This model identifies green supplier S4 as the best choice. The derived ranking results using the adopted model closely match with those obtained from other variants of the TOPSIS method. The Cloud model can efficiently take into account both fuzziness and randomness in a qualitative attribute, and effectively reconstruct the qualitative attribute into the corresponding quantitative score for effective evaluation and appraisal of the considered green suppliers. Comparison of the derived ranking results with other MCDM techniques proves applicability, potentiality and solution accuracy of the Cloud TOPSIS model for the green supplier selection.

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Section: Literature Reviewmentioning

confidence: 99%

A Cloud Topsis Model for Green Supplier Selection

Ramakrishnan

Chakraborty

2020

FU Mech Eng

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Selecting the Most Appropriate Supplier in the Green Environment

Sağnak

2020

Advances in Business Strategy and Competitive Advantage

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Nowadays, supply chain management decisions have become strategic decisions. Also, greening process of supply chain activities were required due to satisfy the customer expectations, and protect the environmental life. Since one of the strategic decisions for supply chains is the supplier selection, greening process also became necessary for supplier evaluations. Within this context, in this chapter, a comprehensive list of the criteria for green supplier selection was determined. Fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) method was applied to determine the cause-effect relationships between the main criteria. Fuzzy Analytic Network Process (ANP) method was used to find the relative weights of the criteria. Finally, fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method was applied to prioritize the various suppliers.

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A hybrid fuzzy multi-criteria decision making model for green supplier selection

Cited by 2 publications

References 20 publications

A Cloud Topsis Model for Green Supplier Selection

A Cloud Topsis Model for Green Supplier Selection

Selecting the Most Appropriate Supplier in the Green Environment

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