Abstract
Sustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method, is proposed to manage SSS problems. Firstly, the evaluation criteria of SSS, including economic, environmental and social, is established. This can be evaluated in the form of the actual data or linguistic terms provided by suppliers and experts respectively in an actual decision-making process. Then, according to the translated scales, all the evaluation information can be converted into picture fuzzy numbers (PFNs). Secondly, the picture fuzzy exponential entropy is defined. Moreover, based on the entropy’s minimization principle, the defined picture fuzzy exponential entropy is used to determine the weight of the SSS’s criteria. Thirdly, the extended VIKOR method, which combines the grey correlation coefficient, is utilized to select a suitable supplier. This method avoids the shortcomings of the traditional VIKOR method in data mining and solves the conflict between SSS criteria. Finally, the feasibility and effectiveness of the proposed integrated decision framework are verified by an experiment, as well as a sensitivity analysis and comparative analysis.
Highlights
Due to the depletion of natural resources, environmental pollution, labor safety and other issues becoming increasingly prominent, modern enterprises pay increasing attention to sustainable development
To overcome the shortcomings of the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method in data mining, the grey correlation coefficient is combined with the VIKOR method to improve the accuracy of the decisionmaking
Societies progress, competition among enterprises intensifies and there is increasing concern about social responsibility, Sustainable supplier selection (SSS) can play an important role in sustainable development
Summary
Due to the depletion of natural resources, environmental pollution, labor safety and other issues becoming increasingly prominent, modern enterprises pay increasing attention to sustainable development. Sustainable supply chain management (SSCM) requires the effective integration of all those involved in the supply chain, such as raw material suppliers, manufacturers, dealers, retailers, logistics companies and consumers This will coordinate economic, environmental and social benefits effectively, to maximize the overall benefits (Hassini et al, 2012). DMs should categorize candidate suppliers and experts simultaneously, with the evaluation values being in the form of the actual data and subjective linguistic terms provided by the candidate suppliers and experts respectively This can make the final results more consistent with actual decision-making by combining a quantitative and qualitative evaluation. This paper constructs an integrated multi-criteria decisionmaking (MCDM) framework, based on the picture fuzzy exponential entropy measure and the extended VIKOR method, to resolve SSS problems where the criteria’s weight information is completely unknown.
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