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Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

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  • Li-Jun Zhang
  • Ran Liu
  • Hu-Chen Liu
  • Hua Shi

Abstract

The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. However, few attempts have been made to systematically review and classify the literature in this field. The objective of this study is to afford a comprehensive review of the studies which aim to develop models and methods in helping enterprises to assess and select the right green suppliers. To achieve this goal, a total of 193 journal articles extracted from the Scopus database over the period of 2009 to 2020 were chosen and reviewed. These publications were classified into ten categories based on their adopted GSES models and analyzed concerning the evaluation criteria, criteria weighting methods, and performance evaluation methods. Moreover, a bibliometric analysis was conducted according to the frequency of supplier selection methods, citation number, publication year, journal, country, and application area. This study supports practitioners, managers, and researchers in effectively recognizing and applying the GSES models to enhance organizational competitiveness and provides an insight into its state of the art.

Suggested Citation

  • Li-Jun Zhang & Ran Liu & Hu-Chen Liu & Hua Shi, 2020. "Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-25, July.
  • Handle: RePEc:hin:jnlmpe:1783421
    DOI: 10.1155/2020/1783421
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    Cited by:

    1. Resende, Carlos Henrique Lopes & Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2023. "Decision-making models for formulating and evaluating supplier development programs: A state-of-the-art review and research paths," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    2. Imane Tronnebati & Manal El Yadari & Fouad Jawab, 2022. "A Review of Green Supplier Evaluation and Selection Issues Using MCDM, MP and AI Models," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
    3. Mehdi Keshavarz-Ghorabaee & Maghsoud Amiri & Mohammad Hashemi-Tabatabaei & Edmundas Kazimieras Zavadskas & Arturas Kaklauskas, 2020. "A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation," Mathematics, MDPI, vol. 8(12), pages 1-24, December.
    4. Zhou, Fang & Chen, Ting-Yu, 2023. "A hybrid group decision-making approach involving Pythagorean fuzzy uncertainty for green supplier selection," International Journal of Production Economics, Elsevier, vol. 261(C).
    5. Ngoc Bao Tu Nguyen & Gu-Hong Lin & Thanh-Tuan Dang, 2021. "A Two Phase Integrated Fuzzy Decision-Making Framework for Green Supplier Selection in the Coffee Bean Supply Chain," Mathematics, MDPI, vol. 9(16), pages 1-22, August.

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