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An Overview of Applications of Hesitant Fuzzy Linguistic Term Sets in Supply Chain Management: The State of the Art and Future Directions

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  • Francisco Rodrigues Lima-Junior

    (Postgraduate Program in Administration, Federal Technological University of Paraná, Curitiba 80230-901, Brazil)

  • Mery Ellen Brandt de Oliveira

    (Postgraduate Program in Information Management, Federal University of Paraná, Curitiba 80060-000, Brazil)

  • Carlos Henrique Lopes Resende

    (Faculty of Economics, University of Coimbra, 3004-512 Coimbra, Portugal)

Abstract

Supply chain management (SCM) encompasses a wide variety of decision-making problems that affect business and supply chain performance. Since most of these problems involve uncertainty and hesitation on the part of decision makers (DMs), various studies have emerged recently that present SCM applications of techniques based on Hesitant Fuzzy Linguistic Term Sets (HFLTSs) and HFLTS extensions. Given the relevance of this subject and the lack of literature review studies, this study presents a systematic review of HFLTS and HFLTS extension applications to SCM decision-making problems. In order to answer a set of research questions, the selected papers were classified in accordance with a group of factors that are pertinent to the origins of these studies, SCM, HFLTSs, and decision making. The results demonstrated that the Source and Enable processes have been studied with greater frequency, while the most common problems have to do with supplier selection, failure evaluation, and performance evaluation. The companies of the automotive sector predominated in the analyzed studies. Even though most of the studies used techniques based on HFLTSs, we identified applications of seven distinct HFLTS extensions. The main contribution of this study consists of presenting an overview of the use of HFLTSs and their extensions in practical examples of SCM, highlighting trends and research opportunities. It is the first study to analyze applications of decision-making techniques that deal with hesitation in SCM. Therefore, the results can help researchers and practitioners develop new studies that involve the use of HFLTSs and HFLTS extensions in decision-making problems, given that this study systematizes elements that should be considered in the modeling, application, and validation of these methods.

Suggested Citation

  • Francisco Rodrigues Lima-Junior & Mery Ellen Brandt de Oliveira & Carlos Henrique Lopes Resende, 2023. "An Overview of Applications of Hesitant Fuzzy Linguistic Term Sets in Supply Chain Management: The State of the Art and Future Directions," Mathematics, MDPI, vol. 11(13), pages 1-40, June.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:13:p:2814-:d:1177390
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    References listed on IDEAS

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    1. Mengjiao Shen & Peide Liu, 2021. "Risk Assessment of Logistics Enterprises Using FMEA Under Free Double Hierarchy Hesitant Fuzzy Linguistic Environments," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1221-1259, July.
    2. Guohua Qu & Rudan Xue & Tianjiao Li & Weihua Qu & Zeshui Xu, 2020. "A Stochastic Multi-Attribute Method for Measuring Sustainability Performance of a Supplier Based on a Triple Bottom Line Approach in a Dual Hesitant Fuzzy Linguistic Environment," IJERPH, MDPI, vol. 17(6), pages 1-26, March.
    3. Lin Yang & Xiao-hui Wu & Jie Qian, 2020. "A Novel Multicriteria Group Decision-Making Approach with Hesitant Picture Fuzzy Linguistic Information," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-19, February.
    4. Peng Li & Ju Liu & Cuiping Wei, 2020. "Factor relation analysis for sustainable recycling partner evaluation using probabilistic linguistic DEMATEL," Fuzzy Optimization and Decision Making, Springer, vol. 19(4), pages 471-497, December.
    5. Konrad Zimmer & Magnus Fröhling & Frank Schultmann, 2016. "Sustainable supplier management -- a review of models supporting sustainable supplier selection, monitoring and development," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1412-1442, March.
    6. Finger, Gustavo Strauch Wilin & Lima-Junior, Francisco Rodrigues, 2022. "A hesitant fuzzy linguistic QFD approach for formulating sustainable supplier development programs," International Journal of Production Economics, Elsevier, vol. 247(C).
    7. William Viana Borges & Francisco Rodrigues Lima Junior & Jurandir Peinado & Luiz Cesar Ribeiro Carpinetti, 2022. "A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 26(6), pages 210133-2101.
    8. Xiaolu Zhang & Ting Su, 2020. "The Dominance Degree-Based Heterogeneous Linguistic Decision-Making Technique for Sustainable 3PRLP Selection," Complexity, Hindawi, vol. 2020, pages 1-18, April.
    9. Wu, Yunna & Jia, Weibing & Li, Lingwenying & Song, Zixin & Xu, Chuanbo & Liu, Fangtong, 2019. "Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation," Energy, Elsevier, vol. 182(C), pages 397-411.
    10. Xiao-Hui Wu & Lin Yang & Jie Qian & Jun Ye, 2021. "Selecting Personnel with the Weighted Cross-Entropy TOPSIS of Hesitant Picture Fuzzy Linguistic Sets," Journal of Mathematics, Hindawi, vol. 2021, pages 1-26, November.
    11. Rohit Kumar Singh & Sachin Modgil, 2023. "Assessment of Lean Supply Chain Practices in Indian Automotive Industry," Global Business Review, International Management Institute, vol. 24(1), pages 68-105, February.
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    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).

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