An integrated multi-criteria decision-making framework for a medical device selection in the healthcare industry

References

• Abbas, A., Al-Bazi, A., & Palade, V. (2018). A constrained fuzzy knowledge-based system for the management of container yard operations. International Journal of Fuzzy Systems, 20(4), 1205–18. https://doi.org/10.1007/s40815-018-0448-9
   Web of Science ®Google Scholar
• Abdel Aleem, S. H., Zobaa, A. F., & Abdel Mageed, H. M. (2015). Assessment of energy credits for the enhancement of the Egyptian green pyramid rating system. Energy Policy, 87(1), 407–416. https://doi.org/10.1016/j.enpol.2015.09.033
   Google Scholar
• Abdel-Basset, M., Manogaran, G., Gamal, A., & Smarandache, F. (2019). A group decision making framework based on neutrosophic TOPSIS approach for smart medical device selection. Journal of Medical Systems, 43(2), 38. https://doi.org/10.1007/s10916-019-1156-1
   PubMed Web of Science ®Google Scholar
• Abdolazimi, A., Momeni, M., & Montazeri, M. (2015). Comparing ELECTRE and linear assignment methods in zoning shahroud-bastam watershed for artificial recharge of groundwater with GIS technique. Modern Applied Science, 9(1), 68–82. https://doi.org/10.5539/mas.v9n1p68
   Google Scholar
• Afshari, A. R., Mojahed, M., Yusuff, R. M., Hong, T. S., & Ismail, M. Y. (2010). Personnel selection using ELECTRE. Journal of Applied Sciences, 10(23), 3068–3075. https://doi.org/10.3923/jas.2010.3068.3075
   Google Scholar
• Akcan, S., & Güldeş, M. (2019). Integrated multicriteria decision-making methods to solve supplier selection problem: A case study in a hospital. Journal of Healthcare Engineering, 2019, 1–10. https://doi.org/10.1155/2019/5614892
   Google Scholar
• Bari, F., & Leung, V. (2007). Application of ELECTRE to network selection in a hetereogeneous wireless network environment. In IEEE wireless communications and networking conference, 3813–3818. https://doi.org/10.1109/WCNC.2007.697
   Google Scholar
• Barrios, M. A., Felice, F. D., Negrete, K. P., Romero, B. A., Arenas, A. Y., & Petrillo, A. (2016). An AHP-topsis integrated model for selecting the most appropriate tomography equipment. International Journal of Information Technology & Decision Making, 15(4), 861–885. https://doi.org/10.1142/S021962201640006X
   Web of Science ®Google Scholar
• Budak, A., Ustundag, A., Oztaysi, B., & Cevikcan, E. (2016). A multi-criteria intuitionistic fuzzy group decision making model for real time location system integration: An application from healthcare system. Uncertainty Modelling in Knowledge Engineering and Decision Making: Proceedings of the 12th International FLINS Conference, 580–587, Roubaix, France. World Scientific.
   Google Scholar
• Buyukozkan, G., & Gocer, F. (2019). Smart medical device selection based on intuitionistic fuzzy Choquet integral. Soft Computing, 23(20), 10085–10103. https://doi.org/10.1007/s00500-018-3563-5
   Web of Science ®Google Scholar
• Carnero, M. C., & Gomez, A. (2019). Optimization of decision making in the supply of medicinal gases used in health care. Sustainability, 11(10), 2952. https://doi.org/10.3390/su11102952
   Web of Science ®Google Scholar
• Cho, K., & Kim, S. (2003). Selecting medical devices and materials for development in Korea: The analytic hierarchy process approach. The International Journal of Health Planning and Management, 18(2), 161–174. https://doi.org/10.1002/hpm.703
   PubMed Web of Science ®Google Scholar
• Elbasuony, G. S., Abdel Aleem, S. H., Ibrahim, A. M., & Sharaf, A. M. (2018). A unified index for power quality evaluation in distributed generation systems. Energy, 149(1), 607–622. https://doi.org/10.1016/j.energy.2018.02.088
   Google Scholar
• Emec, S., Turanoglu, B., Oztas, S., & Akkaya, G. (2019). An integarted MCDM for a medical company selection in health sector. International Journal of Scientific and Technological Research, 5(4), 77–89. https://doi.org/10.7176/JSTR/5-4-09
   Google Scholar
• Figueira, J., Mousseau, V., & Roy, B. (2005). ELECTRE methods. In S. Greco (Ed.), Multiple criteria decision analysis: State of the art surveys (Vol. 78, pp. 133–162). Springer-Verlag.
   Google Scholar
• Frazão, T. D. C., Camilo, D. G. G., Cabral, E. L. S., & Souza, R. P. (2018). Multicriteria decision analysis (MCDA) in health care: A systematic review of the main characteristics and methodological steps. BMC Medical Informatics and Decision Making, 18(1), 90. https://doi.org/10.1186/s12911-018-0663-1
   PubMedGoogle Scholar
• Glaize, A., Duenas, A., Martinelly, C. D., & Fagnot, I. (2019). Healthcare decision-making applications using multicriteria decision analysis: A scoping review. Journal of Multi-Criteria Decision Analysis, 26(1–2), 62–83. https://doi.org/10.1002/mcda.1659
   Web of Science ®Google Scholar
• Goh, M., Zhong, S., & De Souza, R. (2018). Operational framework for healthcare supplier selection under a fuzzy multi-criteria environment. Proceedings of the 23rd International Symposium on Logistics (ISL 2018), Bali, Indonesia. https://doi.org/10.17863/CAM.54027
   Google Scholar
• Gorener, A. (2012). Comparing AHP and ANP: An application of strategic decisions making in a manufacturing company. International Journal of Business and Social Science, 3(11), 194–208. https://ijbssnet.com/journals/Vol_3_No_11_June_2012/22.pdf
   Google Scholar
• Govindan, K., & Jepsen, M. B. (2016). ELECTRE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 250(1), 1–29. https://doi.org/10.1016/j.ejor.2015.07.019
   Web of Science ®Google Scholar
• Hodgett, R. E. (2016). Comparison of multi-criteria decision-making methods for equipment selection. The International Journal of Advanced Manufacturing Technology, 85(5), 1145–1157. https://doi.org/10.1007/s00170-015-7993-2
   Web of Science ®Google Scholar
• Improta, G., Converso, G., Murino, T., Gallo, M., Perrone, A., & Romano, M. (2019). Analytic hierarchy process (AHP) in dynamic configuration as a tool for health technology assessment (HTA): The case of biosensing optoelectronics in oncology. International Journal of Information Technology & Decision Making, 18(5), 1533–1550. https://doi.org/10.1142/S0219622019500263
   Web of Science ®Google Scholar
• Ishizaka, A., & Labib, A. (2011). Review of the main development in the analytic hierarchy process. Expert Systems with Applications, 38(11), 14336–14345. https://doi.org/10.1016/j.eswa.2011.04.143
   Web of Science ®Google Scholar
• Ishizaka, A., & Nemery, P. (2013). Multi-criteria decision analysis: Methods and software. John Wiley & Sons, Ltd.
   Google Scholar
• Ivlev, I., Jablonsky, J., & Kneppo, P. (2016). Multiple-criteria comparative analysis of magnetic resonance imaging systems. International Journal of Medical Engineering and Informatics, 8(2), 124–141. https://doi.org/10.1504/IJMEI.2016.075757
   Google Scholar
• IVLEV, I., KNEPPO, P., & BARTAK, M. (2014). Multicriteria decision analysis: A multifaceted approach to medical equipment management. Technological and Economic Development of Economy, 20(3), 576–589. https://doi.org/10.3846/20294913.2014.943333
   Web of Science ®Google Scholar
• Ivlev, I., Vacek, J., & Kneppo, P. (2015). Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty. European Journal of Operational Research, 247(1), 216–228. https://doi.org/10.1016/j.ejor.2015.05.075
   Web of Science ®Google Scholar
• Lee, Y.-C., Chung, P.-H., & Shyu, J. Z. (2017). Performance evaluation of medical device manufacturers using a hybrid fuzzy MCDM. Journal of Scientific and Industrial Research, 76(1), 28–31. http://nopr.niscair.res.in/bitstream/123456789/39298/1/JSIR%2076%281%29%2028-31.pdf
   Web of Science ®Google Scholar
• Liu, H.-C., Wu, J., & Li, P. (2013). Assessment of health-care waste disposal methods using a VIKOR-based fuzzy multi-criteria decision making method. Waste Management, 33(12), 2744–2751. https://doi.org/10.1016/j.wasman.2013.08.006
   PubMed Web of Science ®Google Scholar
• Marsh, K., Goetghebeur, M., Thokala, P., & Baltussen, R. (Eds.). (2017). Multi-criteria decision analysis to support healthcare decisions. Springer International Publishing.
   Google Scholar
• Park, J., Kim, E., & Shin, K. (2019). Developing an evaluation framework for selecting optimal medical devices. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 64. https://doi.org/10.3390/joitmc5030064
   Google Scholar
• Parnell, G., Bresnick, T., Tani, S., & Johnson, E. (2013). Handbook of decision analysis. John Wiley & Sons.
   Google Scholar
• Rawa, M., Abusorrah, A., Bassi, H., Mekhilef, S., Ali, Z. M., Abdel Aleem, S. H., Hasanien, H. M., & Omar, A. I. (2021). Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2021.02.004
   Google Scholar
• Roy, B. (1968). Classement et choix en pr´esence de points de vue multiples (la m´ethode ELECTRE). Revue d’Informatique et de Recherche Op´erationnelle, 2(8), 57–75. http://www.numdam.org/article/RO_1968__2_1_57_0.pdf
   Google Scholar
• Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. McGraw-Hill.
   Google Scholar
• Saaty, T. L., & Tran, L. T. (2007). On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process. Mathematical and Computer Modelling, 46(7–8), 962–975. https://doi.org/10.1016/j.mcm.2007.03.022
   Web of Science ®Google Scholar
• Shbool, M. A. (2016). Essays in physicians preference items and inventory management within the healthcare supply chain [Theses and Dissertations]. ScholarWorks@UARK. https://scholarworks.uark.edu/etd/1566
   Google Scholar
• Shbool, M. A., & Rossetti, M. D. (2017). Physician preference items–a decision making framework. In IIE Annual Conference. Proceedings, Pittsburgh, PA.
   Google Scholar
• Shbool, M. A., & Rossetti, M. D. (2020, August). Decision-making framework for evaluating physicians’ preference items using multi-objective decision analysis principles. Sustainability, 12(16), 6415. https://doi.org/10.3390/su12166415
   Web of Science ®Google Scholar
• Supraja, S., & Kousalya, P. (2016). ELECTRE method for the selection of best computer system. Indian Journal of Science and Technology, 9(39), 1–5. https://doi.org/10.17485/ijst/2016/v9i39/100787
   Google Scholar
• Tadic, D., Stefanovic, M., & Aleksic, A. (2014). The evaluation and ranking of medical device suppliers by using fuzzy topsis methodology. Journal of Intelligent & Fuzzy Systems, 27(4), 2091–2101. https://doi.org/10.3233/IFS-141174
   Web of Science ®Google Scholar
• Willemé, P., & Dumont, M. (2015). Machines that go ‘Ping’: Medical technology and health expenditures in OECD countries. Health Economics, 24(8), 1027–1041. https://doi.org/10.1002/hec.3089
   PubMed Web of Science ®Google Scholar
• Yücel, M. G., & Görener, A. (2016). Decision making for company acquisition by ELECTRE method. International Journal of Supply Chain Management, 5(1), 75–83. https://ojs.excelingtech.co.uk/index.php/IJSCM/article/view/1166
   Google Scholar