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- MakaleAçık Erişim2023Determining the most suitable sectors in terms of the digital supply chain by integrated fuzzy MCDM approach
Gergin, Ramazan Eyuep
In this day and age, businesses come up against several challenges due to digital progresses in their supply chain. Digitalization has been expected to play an increasingly important role for both companies and the supply chains of the future. Concordantly, it is important to determine the suitability of the supply chains of the sectors for digitalization in order to cope with the difficulties that the enterprises will face in the future. The main objective of this study is to determine the suitability of the supply chains of the sectors in which medium-sized enterprises operate for digitalization. For this purpose, the criteria which affecting the constitution of the digital supply chain are determined with a comprehensive literature search. Fuzzy Analytical Hierarchy Process (FAHP) is utilized to weighting of the relevant criteria. Sectors which medium-sized enterprises are constitute the alternatives of the study. After the weighting of the criteria, in terms of digital supply chain the suitability of the sectors was evaluated via Fuzzy TOPSIS (FTOPSIS) and Fuzzy VIKOR (FVIKOR). BORDA count technique is utilized to obtain the final decision by integrating the results from these two methods. According to the results of the study, the most important criterion in terms of Global Connectivity digital supply chain was determined as the Manufacturing sector according to FTOPSIS and the Health sector has been determined as the most suitable sector for digitalization according to FVIKOR. As to BORDA Count method, results show that the manufacturing sector is the most suitable sector for digitalization in the general ranking.
AtıfWoS1OpenAlex1TR Dizin1İncele - MakaleYalnız künye2015Scopus SJRQ4An integrated evaluation model for service quality of hospitals: A case study from Turkey
Baki, Birdogan; Peker, Iskender
In this paper, an integrated approach, in which Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy TOPSIS (FTOPSIS) is used, is proposed to rank the hospitals according to service quality from the patient's point of view. The FAHP is employed to determine the weights of service quality criteria for the hospitals, and FTOPSIS method is used to rank the hospitals. Empirical results show that when "reliability" is the most important criterion, "empathy" is the least important criterion in terms of hospital service quality. A sensitivity analysis is also applied to check how sensitive our model is to changes in the various criteria weights.
AtıfScopus9WoS8İncele