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On solving a healthcare supplier selection problem using MCDM methods in intuitionistic fuzzy environment

Author

Listed:
  • Santonab Chakraborty

    (National Institute of Industrial Engineering)

  • Rakesh D. Raut

    (National Institute of Industrial Engineering)

  • T. M. Rofin

    (National Institute of Industrial Engineering)

  • Shankar Chakraborty

    (Jadavpur University)

Abstract

Presence of numerous competing suppliers along with conflicting evaluation criteria, increased participation and expectations of the stakeholders having varying interest, uncertainty in demand and supply, and lack and vagueness of information make healthcare supplier selection a challenging task which can be effectively solved with the application of multi-criteria decision making (MCDM) methods in fuzzy environment. This paper proposes a two-stage methodology for solving a supplier selection problem in the Indian healthcare scenario. Four efficient suppliers are first shortlisted from a pool of 25 candidate pharmaceutical suppliers using data envelopment analysis based on nine pivotal financial metrics. In the second stage, three MCDM techniques, in the form of weighted aggregated sum product assessment (WASPAS), combinative distance-based assessment (CODAS) and combined compromise solution (CoCoSo) are individually integrated with intuitionistic fuzzy (IF) set to identify the most apposite healthcare supplier on the basis of five qualitative criteria (cost, delivery time, service, quality and flexibility). It is interestingly noticed that all the adopted MCDM techniques behave similarly in selecting the best supplier in IF environment. A sensitivity analysis with respect to changing criteria weights is also carried out to search out the most robust IF-MCDM method.

Suggested Citation

  • Santonab Chakraborty & Rakesh D. Raut & T. M. Rofin & Shankar Chakraborty, 2024. "On solving a healthcare supplier selection problem using MCDM methods in intuitionistic fuzzy environment," OPSEARCH, Springer;Operational Research Society of India, vol. 61(2), pages 680-708, June.
    • Handle: RePEc:spr:opsear:v:61:y:2024:i:2:d:10.1007_s12597-023-00733-1
    DOI: 10.1007/s12597-023-00733-1
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    References listed on IDEAS

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    1. Lei Xiong & Shuqi Zhong & Sen Liu & Xiao Zhang & Yanfeng Li, 2020. "An Approach for Resilient-Green Supplier Selection Based on WASPAS, BWM, and TOPSIS under Intuitionistic Fuzzy Sets," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-18, July.
    2. Morteza Yazdani & Pascale Zaraté & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2019. "A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems," Post-Print hal-02879091, HAL.
    3. Prabjot Kaur, 2014. "Selection of Vendor Based on Intuitionistic Fuzzy Analytical Hierarchy Process," Advances in Operations Research, Hindawi, vol. 2014, pages 1-10, December.
    4. Xiang Ziquan & Yang Jiaqi & Muhammad Hamza Naseem & Xiang Zuquan & Liang Xueheng, 2021. "Supplier Selection of Shipbuilding Enterprises Based on Intuitionistic Fuzzy Multicriteria Decision," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-11, July.
    5. Sina Salimian & Seyed Meysam Mousavi & Jurgita Antucheviciene, 2022. "An Interval-Valued Intuitionistic Fuzzy Model Based on Extended VIKOR and MARCOS for Sustainable Supplier Selection in Organ Transplantation Networks for Healthcare Devices," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    6. P. Manivel & Rajesh Ranganathan, 2019. "An efficient supplier selection model for hospital pharmacy through fuzzy AHP and fuzzy TOPSIS," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 33(4), pages 468-493.
    7. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
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