Supplier Ranking in Dental Sector Using Integrated Fuzzy (AHP-TOPSIS)
Engineering and Technology Journal,
2022, Volume 40, Issue 12, Pages 1763-1770
AbstractChoosing a suitable supplier of materials and equipment in the healthcare sector is essential because it directly affects the patient's health and the organization's effectiveness and quality of services. Moreover, studies on supplier ranking are few in the field of health, particularly in the dental sector. For this purpose, an integrated fuzzy (AHP-TOPSIS) model has been developed for supplier ranking in the dental sector. The F-AHP is used to evaluate the importance of criteria, and then the F-TOPSIS method is applied to the supplier ranking process. A real case study is conducted on dental composite filling suppliers. Six evaluation criteria are identified, and five potential suppliers are selected through a direct interview with a group of experts. Then a questionnaire is applied to 12 experts (dentists) to rate the importance of evaluation criteria and to evaluate suppliers based on evaluation criteria. Evaluating the importance of criteria using F-AHP indicated that quality is the most important criterion. It has a weight of 0.22, followed by esthetic and durability with a weight of 0.21 for both. Moreover, the result of ranking using F-TOPSIS indicated that supplier A5 is the top supplier with a value of (0.532).
- The study identified the evaluation criteria that govern an accurate assessment of dental composite fillings suppliers.
- The F-AHP and F-TOPSIS methods are used to rank the suppliers.
- The result of the criteria evaluation indicated that quality is the most important criterion, followed by esthetic and durability criteria
 B. Erdebilli, İ. Güneşli, and S. Şahin, Dental Supplier Selection with TOPSIS Method by Using LP Methodology, J. Eng. Sci. Des., 9 (2021) 940–951.doi: 10.21923/jesd.818868
 S. Karadayi-usta and C. Erhan, Supplier selection for hospital medical equipment using fuzzy multi-criteria decision making approach, 2019, doi: 10.1088/1757-899X/639/1/012001
 S. F. Ghannadpour, A. Rezahoseini, and E. Ahmadi, Selection of Sustainable Supplier for Medical Centers with Data Envelopment Analysis (DEA) & Multi-Attributed Utility Theory (MAUT) Approaches, Int. J. Hosp. Res., 7 (2018) 82–96.
 E. Huseyinozder, Supplier Selection Problem With Using Multi-Criteria Decision Making Methods : a Case Study in a Gas Mask Factory, Int. J. Manag. Appl. Sci., 3 (2017) 65–69.
 S. Kumar, S. Kumar, and A. G. Barman, Supplier selection using fuzzy TOPSIS multi criteria model for a small scale steel manufacturing unit, Procedia Comput. Sci., 133 (2018) 905–912.doi: 10.1016/j.procs.2018.07.097
 C. N. Wang, Y. F. Huang, I. F. Cheng, and V. T. Nguyen, A Multi-Criteria Decision-Making (MCDM) Approach Using Hybrid SCOR Metrics, AHP, and TOPSIS for supplier evaluation and selection in the gas and oil industry, Processes, 6 (2018) 252.doi: 10.3390/pr6120252
 Ç. Gündüz and G. Ş. Gündüz, Supplier Selection under Fuzzy Environment, Tekst. ve Konfeksiyon, 29 (2020) 344–352.doi: 10.32710/tekstilvekonfeksiyon.551911
 S. E. Torkayesh, A. Iranizad, A. E. Torkayesh, and M. N. Basit, Application of Bwm-Waspas Model for Digital Supplier Selection Problem: a Case Study in Online Retail Shopping, J. Ind. Eng. Decis. Mak., 1 (2020) 12–23.doi: 10.31181/jiedm200101012t
 A. S. Siddiqui, A Study on Fuzzy AHP method and its applications in a " tie -breaking procedure ", Glob. J. Pure Appl. Math., 13 (2017) 1619–1630.
 F. F. Abdul-Razaq, S. S. Al-Zubaidi, and A. H. Kassam, Fuzzy Analytical Hierarchy Process for Embedded Risk Reduction in Selecting the Right Planning Decision, Al-Khwarizmi Eng. J., 15 (2019) 92–105.
 M. M. Rahman and K. B. Ahsan, Supplier Selection and Evaluation by Fuzzy-AHP Extent Analysis: A Case Study RMG Sector of Bangladesh, Int. J. Eng. Manag. Res., 9 (2019).doi: 10.31033/ijemr.9.1.5
 Y. Yayla and A. Yildiz, Fuzzy TOPSIS Method in Supplier Selection and Application in the Garment Industry, FIBRES Text. East. Eur., 20 (2012) 20–23.
 M. Sevkli, S. Zaim, A. Turkyılmaz, and M. Satır, An Application of Fuzzy Topsis Method for Supplier Selection, 2010, doi: 10.1109/FUZZY.2010.5584006
 A. N. Haddad, B. B. F. Costa, L. S. De Andrade, A. Hammad, and C. A. P. Soares, Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria : A Case Study in the Oil and Gas Industry,” Infrastructures, 6 (2021) 105. doi.org/10.3390/infrastructures6080105
 T. L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, New York, USA, 1980.
 J. J. Buckley, Fuzzy hierarchical analysis, Fuzzy Sets Syst., 17 (1985) 233–247.
 C. T. Chen, Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets Syst., 114 (2000) 1–9.
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