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.
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References
Abdel-Basset, M., Mohamed, R., Smarandache, F., Elhoseny, M.: A new decision-making model based on plithogenic set for supplier selection. Comput. Mater. Contin. 66(3), 2751–2769 (2021)
Akcan, S., Güldes, M.: Integrated multicriteria decision-making methods to solve supplier selection problem: a case study in a hospital. J. Healthc. Eng. 2019, 5614892 (2019)
Alinezad, A., Seif, A., Esfandiari, N.: Supplier evaluation and selection with QFD and FAHP in a pharmaceutical company. Int. J. Adv. Manuf. Technol. 68, 355–364 (2013)
Atanassov, K.T.: Intutionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Badi, I., Ballem, M.: Supplier selection using the rough BWM-MAIRCA model: a case study in pharmaceutical supply chain in Libya. Decis. Mak. Appl. Manag. Eng. 1(2), 16–33 (2018)
Bakhtiar, A., Siahaan, Y.S.T., Susanty, A.: Supplier selection with gray based rough set theory method (a case study: pharmaceutical installation of RSU Grand Medica Tanjung Anom, Medan). Mater. Sci. Eng. 598, 012018 (2019)
Biswas, S.: Measuring performance of healthcare supply chains in India: a comparative analysis of multi-criteria decision making methods. Decis. Mak. Appl. Manag. Eng. 3(2), 162–189 (2020)
Boran, F.E., Genç, S., Kurt, M., Akay, D.: A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Syst. Appl. 36, 11363–11368 (2009)
BüyükKözkan, G., Göçer, F.: Prioritizing the strategies to enhance smart city logistics by intuitionistic fuzzy CODAS. In: Atlantis Stud. Uncertainty Model, vol. 1, pp. 805–811 (2021)
Chai, J., Liu, J.N.K., Xu, Z.: A new rule-based SIR approach to supplier selection under intutionistic fuzzy environments. Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 20(3), 451–471 (2012)
Chai, J., Liu, J.N.K., Ngai, E.W.T.: Application of decision-making techniques in supplier selection: a systematic review of literature. Expert Syst. Appl. 40, 3872–3885 (2013)
Chai, J., Ngai, E.W.T.: Decision-making techniques in supplier selection: recent accomplishments and what lies ahead. Expert Syst. Appl. 140, 112903 (2020)
Charnes, A., Cooper, W.W., Lewin, A.Y.: Data Envelopment Analysis: Theory, Methodology and Applications. Kluwer, Boston (1994)
Dixit, A., Routroy, S., Dubey, S.K.: A systematic literature review of healthcare supply chain and implications of future research. Int. J. Pharm. Healthc. Mark. 13(4), 405–435 (2019)
Djordjevic, M.Z., Puskaric, H., Djordjevic, A.: Evaluation and ranking of artificial hip prosthesis suppliers by using a fuzzy TOPSIS methodology. Int. J. Qual. Res. 8(2), 155–168 (2014)
Ecer, F.: An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19. Neural Comput. Appl. 34, 5603–5623 (2022)
Emec, S., Turanoglu, B., Oztas, S., Akkaya, G.: An integrated MCDM for a medical company selection in health sector. Int. J. Sci. Technol. Res. 5(4), 77–89 (2019)
Fashoto, S.G., Akinnuwesi, B., Owolabi, O., Adelekan, D.: Decision support model for supplier selection in healthcare service delivery using analytical hierarchy process and artificial neural network. Afr. J. Bus. Manag. 10(9), 209–232 (2016)
Ganguly, A., Kumar, C., Chatterjee, D.: A decision-making model for supplier selection in Indian pharmaceutical organizations. J. Health Manag. 21(3), 351–371 (2019)
Ghorabaee, M.K., Zavadskas, E.K., Turskis, Z., Antucheviciene, J.: A new combinative distance-based assessment (CODAS) method for multi-criteria decision making. Econ. Comput. Econ. Cybern. Stud. Res. 50(3), 25–44 (2016)
Görçün, O.F., Senthil, S., Küçükönder, H.: Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique. Decis. Mak. Appl. Manag. Eng. 4(2), 140–162 (2021)
https://www.ibef.org/industry/healthcare-india (retrieved on 31st March, 2023)
https://pib.gov.in/PressReleasePage.aspx?PRID=1894902 (retrieved on 31st March, 2023)
https://www.drishtiias.com/daily-updates/daily-news-analysis/healthcare-sector-in-india/print_manually (retrieved on 31st March, 2023)
https://pib.gov.in/Pressreleaseshare.aspx?PRID=1703447 (retrieved on 31st March, 2023)
Karagoz, S., Deveci, M., Simic, V., Aydin, N., Bolukbas, U.: A novel intuitionistic fuzzy MCDM-based CODAS approach for locating an authorized dismantling center: a case study of Istanbul. Waste Manag. Res. 38(6), 660–672 (2020)
Kaur, P.: Selection of vendor based on intuitionistic fuzzy analytical hierarchy process. Adv. Oper. Res. Article ID 987690, 10 pages (2014)
Khumpang, P., Arunyanart, S.: Supplier selection for hospital medical equipment using fuzzy multicriteria decision making approach. Mater. Sci. Eng. 639, 012001 (2019)
Krishankumar, R., Ravichandran, K.S., Saeid, A.B.: A new extension to PROMETHEE under intuitionistic fuzzy environment for solving supplier selection problem with linguistic preferences. Appl. Soft Comput. 60, 564–576 (2017)
Kumari, R., Mishra, A.R.: Multi-criteria COPRAS method based on parametric measures for intuitionistic fuzzy sets: application of green supplier selection. Iran. J. Sci. Technol. Trans. Electr. Eng. 44, 1645–1662 (2022)
Laganà, I.R., Colapinto, C.: Multiple criteria decision-making in healthcare and pharmaceutical supply chain management: a state-of-the-art review and implications for future research. J. Multi-Criteria Decis. Anal. 29, 122–134 (2022)
Manivel, P., Ranganathan, R.: An efficient supplier selection model for hospital pharmacy through fuzzy AHP and fuzzy TOPSIS. Int. J. Serv. Oper. Manag. 33(4), 468–493 (2019)
Memari, A., Dargi, A., Jokar, M.R.A., Ahmad, R., Rahim, A.R.A.: Sustainable supplier selection: a multi-criteria intuitionistic fuzzy TOPSIS method. J. Manuf. Syst. 50, 9–24 (2019)
Modibbo, U.M., Hassan, M., Ahmed, A., Ali, I.: Multi-criteria decision analysis for pharmaceutical supplier selection problem using fuzzy TOPSIS. Manag. Decis. 60(3), 806–836 (2022)
Nakiboglu, G., Bulgurcu, B.: Supplier selection in a Turkish textile company by using intuitionistic fuzzy decision-making. J. Text. Inst. 112(2), 322–332 (2021)
Pamucar, D., Torkayesh, A.E., Biswas, S.: Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach. Ann. Opera. Res. 328, 977–1019 (2022). https://doi.org/10.1007/s10479-022-04529-2
Peng, X., Garg, H.: Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selection. Artif. Intell. Rev. 55, 1567–1604 (2022)
Pérez-Domínguez, L., Alvarado-Iniesta, A., Rodríguez-Borbón, I., Vergara-Villegas, O.: Intuitionistic fuzzy MOORA for supplier selection. DYNA 82, 34–41 (2015)
Pourghahreman, N., Qhatari, A.R.: Supplier selection in an agent based pharmaceutical supply chain: an application of TOPSIS and PROMETHEE Π. Uncertain Supply Chain Manag. 3, 231–240 (2015)
Quartey-Papafio, T.K., Shajedul, I., Dehaghani, A.R.: Evaluating suppliers for healthcare centre using ordinal priority approach. Manag. Sci. Bus. Decis. 1(1), 5–11 (2021)
Rahmi, S.R., Firman, F.: Analysis of supplier selection by using the AHP and PROMETHEE methods in Regional Public Hospital Padang (RSUD Padang). Adv. Econ. Bus. Manag. Res. 97, 796–805 (2019)
Rouyendegh, B.D., Yildizbasi, A., Üstünyer, P.: Intuitionistic fuzzy TOPSIS method for green supplier selection problem. Soft. Comput. 24, 2215–2228 (2020)
Salimian, S., Mousavi, S.M., Antucheviciene, J.: An interval-valued intuitionistic fuzzy model based on extended VIKOR and MARCOS for sustainable supplier selection in organ transplantation networks for healthcare devices. Sustainability 14, 3795 (2022)
Sarwal, R., Prasad, U., Madangopal, K., Kalal, S., Kaur, D., Kumar, A., Regy, P., Sharma, J.: Investment opportunities in India’s healthcare sector. NITI Aayog (2021)
Sen, D.K., Datta, S., Mahapatra, S.S.: Sustainable supplier selection in intuitionistic fuzzy environment: a decision-making perspective. Benchmarking Int. J. 25(2), 545–574 (2018)
Stanujkić, D., Karabašević, D.: An extension of the WASPAS method for decision-making problems with intutionistic fuzzy numbers: a case of website evaluation. Oper. Res. Eng. Sci. Theory Appl. 1(1), 29–39 (2018)
Stević, Ž, Pamučar, D., Puška, A., Chatterjee, P.: Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to Compromise solution (MARCOS). Comput. Ind. Eng. 140, 106231 (2020)
Sumrit, D.: Supplier selection for vendor-managed inventory in healthcare using fuzzy multi-criteria decision-making approach. Decis. Sci. Lett. 9, 233–256 (2020)
Tadić, D., Stefanović, M., Aleksić, A.: The evaluation and ranking of medical device suppliers by using fuzzy topsis methodology. J. Intell. Fuzzy Syst. 27, 2091–2101 (2014)
Taherdoost, H., Brard, A.: Analyzing the process of supplier selection criteria and methods. Procedia Manuf. 32, 1024–1034 (2019)
Xiong, L., Zhong, S., Liu, S., Zhang, X., Li, Y.: An approach for resilient-green supplier selection based on WASPAS, BWM, and TOPSIS under intuitionistic fuzzy sets. Math. Probl. Eng. 2020, 1761893 (2020)
Yazdani, M., Zarate, P., Zavadskas, E.K., Turskis, Z.: A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Manag. Decis. 57(9), 2501–2519 (2019)
Yazdani, M., Torkayesh, A.E., Chatterjee, P.: An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital. J. Enterp. Inf. Manag. 33(5), 965–989 (2020)
Zavadskas, E.K., Turskis, Z., Antucheviciene, J., Zakarevicius, A.: Optimization of weighted aggregated sum product assessment. Electron. Electr. Eng. 122(6), 3–6 (2012)
Zhao, J., You, X.-Y., Liu, H.-C., Wu, S.-M.: An extended VIKOR method using intuitionistic fuzzy sets and combination weights for supplier selection. Symmetry 9, 169 (2017)
Ziquan, X., Jiaqi, Y., Naseem, M.H., Zuquan, X., Xueheng, L.: Supplier selection of shipbuilding enterprises based on intuitionistic fuzzy multicriteria decision. Math. Probl. Eng. 2021, 1775053 (2021)
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Chakraborty, S., Raut, R.D., Rofin, T.M. et al. On solving a healthcare supplier selection problem using MCDM methods in intuitionistic fuzzy environment. OPSEARCH (2024). https://doi.org/10.1007/s12597-023-00733-1
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DOI: https://doi.org/10.1007/s12597-023-00733-1