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A hybrid group decision-making approach involving Pythagorean fuzzy uncertainty for green supplier selection

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  • Zhou, Fang
  • Chen, Ting-Yu

Abstract

Green supplier selection is a significant issue in green supply chain management field and has drawn worldwide attention from academia, industry, and governments. Numerous methodological models have emerged for correctly choosing an appropriate green supplier, but some inadequate aspects of these models, such as the use of high-order fuzzy uncertainty, incompatible designed criteria, the weight methods used by decision experts, and consensus on distinct ranks, should be improved. This research propounds a hybrid approach that combines the analytic hierarchy process (AHP), technique for order preference by similarity to ideal solutions (TOPSIS), and linear assignment method (LAM) under Pythagorean fuzzy (PF) uncertainty to assess candidate suppliers. A new hierarchical evaluative criteria system with green factors that run throughout procurement, production, and transaction is built. The ordered weighted averaging operation predicated on a normal distribution is adopted to figure out the significance of the relevant decision experts, and the PF-AHP technique is exploited to recognize relevant criteria significance. To find the best green supplier, the PF-TOPSIS technique employs the most recent generalized distance measure and magnitudes. The LAM is exploited to arrive at a consensus on distinct ranks depending on differentiated distance parameter values in the distance formula for the PF sets, and then the optimal green supplier can be obtained. Additionally, the presented PF-AHP-TOPSIS-LAM approach was applied to an illustrative case, and the outcomes were shown to be more beneficial and efficacious than the solutions by other existing techniques. Hence, our presented hybrid approach provides a better methodological framework, establishes a critical foundation for artificial intelligence applications within a decision support field, and contributes to such competitiveness of microenterprises and the long-term development of society.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:proeco:v:261:y:2023:i:c:s092552732300107x
    DOI: 10.1016/j.ijpe.2023.108875
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    References listed on IDEAS

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    1. Moghaddas, Zohreh & Tosarkani, Babak Mohamadpour & Yousefi, Samuel, 2022. "Resource reallocation for improving sustainable supply chain performance: An inverse data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 252(C).
    2. Rodríguez-Espíndola, Oscar & Cuevas-Romo, Ana & Chowdhury, Soumyadeb & Díaz-Acevedo, Natalie & Albores, Pavel & Despoudi, Stella & Malesios, Chrisovalantis & Dey, Prasanta, 2022. "The role of circular economy principles and sustainable-oriented innovation to enhance social, economic and environmental performance: Evidence from Mexican SMEs," International Journal of Production Economics, Elsevier, vol. 248(C).
    3. Arun Kr. Purohit & Devendra Choudhary & Ravi Shankar, 2016. "Inventory lot-sizing with supplier selection under non-stationary stochastic demand," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2459-2469, April.
    4. Stephen Okyere & Jiaqi Yang & Charles Anum Adams, 2022. "Optimizing the Sustainable Multimodal Freight Transport and Logistics System Based on the Genetic Algorithm," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    5. Hongyi Sun & Bingqian Zhang & Wenbin Ni, 2022. "A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    6. Wade D. Cook & Lawrence M. Seiford, 1978. "Priority Ranking and Consensus Formation," Management Science, INFORMS, vol. 24(16), pages 1721-1732, December.
    7. Guangxu Li & Gang Kou & Yanhong Li & Yi Peng, 2022. "A group decision making approach for supplier selection with multi-period fuzzy information and opinion interaction among decision makers," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(4), pages 855-868, March.
    8. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    9. Jung-Fa Tsai & Chin-Po Wang & Ming-Hua Lin & Shih-Wei Huang, 2021. "Analysis of Key Factors for Supplier Selection in Taiwan’s Thin-Film Transistor Liquid-Crystal Displays Industry," Mathematics, MDPI, vol. 9(4), pages 1-18, February.
    10. Guohua Qu & Zhijie Zhang & Weihua Qu & Zeshui Xu, 2020. "Green Supplier Selection Based on Green Practices Evaluated Using Fuzzy Approaches of TOPSIS and ELECTRE with a Case Study in a Chinese Internet Company," IJERPH, MDPI, vol. 17(9), pages 1-32, May.
    11. Hao Xu & Liuxin Chen & Qiongfang Li & Jianchao Yang, 2021. "A Multi-Attribute Decision Method under Uncertainty Environment Conditions—The Green Supplier Evaluation Perspective," IJERPH, MDPI, vol. 18(1), pages 1-15, January.
    12. Henao, Rafael & Sarache, William, 2022. "Sustainable performance in manufacturing operations: The cumulative approach vs. trade-offs approach," International Journal of Production Economics, Elsevier, vol. 244(C).
    13. 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).
    14. Bernardo, John J & Blin, Jean-Marie, 1977. "A Programming Model of Consumer Choice among Multi-Attributed Brands," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(2), pages 111-118, Se.
    15. Arezou Asgharnezhad & Soroush Avakh Darestani, 2022. "A green supplier selection framework in polyethylene industry," Management Research Review, Emerald Group Publishing Limited, vol. 45(12), pages 1572-1591, February.
    16. Yousefi, Samuel & Mohamadpour Tosarkani, Babak, 2022. "An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance," International Journal of Production Economics, Elsevier, vol. 246(C).
    17. 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.
    18. Prajapati, Dhirendra & Pratap, Saurabh & Zhang, Mengdi & Lakshay, & Huang, George Q., 2022. "Sustainable forward-reverse logistics for multi-product delivery and pickup in B2C E-commerce towards the circular economy," International Journal of Production Economics, Elsevier, vol. 253(C).
    19. 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.
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