Volume 21 , Issue 2 , PP: 98-106, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Iruma Alfonso Gonzalez 1 * , Guido Guida Acevedo 2 , Flor B. Morocho Quinchuela 3
Doi: https://doi.org/10.54216/IJNS.210209
Given the importance of suppliers to the overall viability and effectiveness of a supply chain, the assessment and choice of suppliers is a popular topic of research. Thus, in today's global climate, businesses must develop a methodical approach to evaluating and selecting the most suitable supplier based on their standards. To meet this need, businesses might turn to multi-criteria decision-making (MCDM) techniques, since deciding on a reliable provider is fundamentally an MCDM challenge. Although many examples of using these strategies for supplier assessment and choice can be found in the published literature, not enough research has been conducted on their effectiveness in the healthcare industry. In the healthcare industry, hospitals must also think about supplier-related choices to lessen hazards and threads that impact their efficacy. The VIKOR technique, which is focused on the development of a compromising answer within the context of options and assessment standards, yields excellent outcomes in situations requiring the consideration of numerous factors simultaneously. Numerous studies have shown that neutrosophic numbers actively aid in the process of making decisions. Suppliers in healthcare alternatives selection is a challenge that has been solved by the presented technique.
Suppler Selection , Supply Chain , Healthcare , VIKOR , MCDM , Neutrosophic Sets
[1] D. Sumrit, “Supplier selection for vendor-managed inventory in healthcare using fuzzy multi-criteria decision-making approach,” Decis. Sci. Lett., vol. 9, no. 2, pp. 233–256, 2020.
[2] D. Pamucar, A. E. Torkayesh, and S. Biswas, “Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach,” Ann. Oper. Res., pp. 1–43, 2022.
[3] Ž. Stević, D. Pamučar, A. Puška, and P. Chatterjee, “Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS),” Comput. Ind. Eng., vol. 140, p. 106231, 2020.
[4] A. Beşkese and C. Evecen, “Supplier selection in healthcare sector,” J. Trends Dev. Mach. Assoc. Technol., vol. 16, no. 1, pp. 91–94, 2012.
[5] S. G. Fashoto, B. Akinnuwesi, O. Owolabi, and D. Adelekan, “Decision support model for supplier selection in healthcare service delivery using analytical hierarchy process and artificial neural network,” African J. Bus. Manag., vol. 10, no. 9, pp. 209–232, 2016.
[6] K. K. Göncü and O. Çetin, “A Decision Model for Supplier Selection Criteria in Healthcare Enterprises with Dematel ANP Method,” Sustainability, vol. 14, no. 21, p. 13912, 2022.
[7] S. Akcan and M. Güldeş, “Integrated multicriteria decision-making methods to solve supplier selection problem: A case study in a hospital,” J. Healthc. Eng., vol. 2019, 2019.
[8] B. Debnath, A. B. M. M. Bari, M. M. Haq, D. A. de Jesus Pacheco, and M. A. Khan, “An integrated stepwise weight assessment ratio analysis and weighted aggregated sum product assessment framework for sustainable supplier selection in the healthcare supply chains,” Supply Chain Anal., vol. 1, p. 100001, 2023.
[9] I. E. Ahmed Sleem, “An Interval Valued Neutrosophic Sets Integrated with the AHP MCDM Methodology to Assess the Station of 5G Network,” Neutrosophic Inf. Fusion, vol. 1, no. 1, pp. 34–40, 2023, doi: 10.54216/NIF.010104.
[10] M. Yazdani, A. E. Torkayesh, and P. Chatterjee, “An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital,” J. Enterp. Inf. Manag., vol. 33, no. 5, pp. 965–989, 2020.
[11] M. Abbaspour Onari and M. Jahangoshai Rezaee, “Implementing bargaining game-based fuzzy cognitive map and mixed-motive games for group decisions in the healthcare supplier selection,” Artif. Intell. Rev., pp. 1–34, 2023.
[12] A. Gamal and N. N. Mostafa, “Sustainable Supplier Selection using Neutrosophic Sets and MCDM Framework,” Neutrosophic Inf. Fusion, vol. 1, no. 1, pp. 27–33, 2023, doi: 10.54216/nif.010103.
[13] M. Goh, S. Zhong, and R. De Souza, “Operational framework for healthcare supplier selection under a fuzzy multi-criteria environment,” 2020.
[14] H. Eroğlu and R. Şahin, “A neutrosophic VIKOR method-based decision-making with an improved distance measure and score function: case study of selection for renewable energy alternatives,” Cognit. Comput., vol. 12, no. 6, pp. 1338–1355, 2020.
[15] H. K. M. Ahmed Abdelhafeez, “Enhance the Performance of Bus Rapid Transit (BRT) through the Evaluation of Alternatives under an Integrated MCDM Neutrosophic Environment,” Neutrosophic Inf. Fusion, vol. 1, no. 2, pp. 08–15, 2023, doi: 10.54216/NIF.010201.
[16] J. Nsikan, E. A. Affiah, I. Briggs, and N. Koko, “Sustainable supplier selection factors and supply chain performance in the Nigerian healthcare industry,” J. Transp. Supply Chain Manag., vol. 16, p. 633, 2022.
[17] E. Boz, S. Çizmecioğlu, and A. Çalık, “A Novel MDCM Approach for Sustainable Supplier Selection in Healthcare System in the Era of Logistics 4.0,” Sustainability, vol. 14, no. 21, p. 13839, 2022.
[18] H. Paronyan, R. M. Carballido, and M. A. Matos, Neutrosophic VIKOR for Proposal of Reform to Article 189 of the Integral Criminal Code in Ecuador, vol. 37. Infinite Study, 2020.
[19] J. Wang, G. Wei, and M. Lu, “An extended VIKOR method for multiple criteria group decision making with triangular fuzzy neutrosophic numbers,” Symmetry (Basel)., vol. 10, no. 10, p. 497, 2018.
[20] N. L. A. M. Kamal, L. Abdullah, F. M. Yee, I. Abdullah, and N. Vafaei, “Single Valued Neutrosophic VIKOR and Its Application to Wastewater Treatment Selection.,” Neutrosophic Sets Syst., vol. 47, 2021.
[21] J. Hu, L. Pan, and X. Chen, “An interval neutrosophic projection-based VIKOR method for selecting doctors,” Cognit. Comput., vol. 9, pp. 801–816, 2017.
[22] H. Pouresmaeil, E. Shivanian, E. Khorram, and H. S. Fathabadi, “An extended method using TOPSIS and VIKOR for multiple attribute decision making with multiple decision makers and single valued neutrosophic numbers,” Adv. Appl. Stat, vol. 50, pp. 261–292, 2017.
[23] R. Bausys and E.-K. Zavadskas, Multicriteria decision making approach by VIKOR under interval neutrosophic set environment. Infinite Study, 2015.