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REVIEW OF SUPPLIER EVALUATION CRITERIA IN SUSTAINABLE SUPPLY CHAIN MANAGEMENT BY DEMATEL METHOD AND AN APPLICATION IN THE WOOD SECTOR

Birol Coşkun,M. Yildiz,Merve Bayraktar

Published 2022 in International Journal of Management Economics and Business

ABSTRACT

Supplier selection is considered among the most criterional decision-making problems as it aims to maximize conflicting targets. In order to meet the demands of customers, enterprises take environmental and social factors into account as well as economic factors. The main objective of the study is to evaluate supplier selection criteria within a sustainable supply chain and to determine which criteria have more weight. In the study, a conceptual framework has been developed by taking into account economic, environmental and social factors in order to evaluate the performance of a sustainable supply chain performance. In addition to these 3 main criteria, 9 sub-criteria are also included in the study. In this study, the DEMATEL method is applied to measure the sustainability performance of suppliers in the sustainable supply chain of a company operating in the natural wood coating sector. At the end of the practice, the weight rating of each criterion is calculated. It has been revealed that the economic, then social and environmental dimension is considered important in the sustainable supplier selection criteria for the company evaluated within the scope of the study and that the cost of supply is the most important performance criterion. The criteria are divided into affecting and affected by evaluating the level of importance relative to each other. It has been shown that the enterprise should focus on which performance criteria in the supplier selection.

PUBLICATION RECORD

  • Publication year

    2022

  • Venue

    International Journal of Management Economics and Business

  • Publication date

    2022-01-10

  • Fields of study

    Not labeled

  • Identifiers
    DOI 10.17130/ijmeb.978939
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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