Determining the most suitable sectors in terms of the digital supply chain by integrated fuzzy MCDM approach
Erişim
info:eu-repo/semantics/closedAccessTarih
2023Erişim
info:eu-repo/semantics/closedAccessÜst veri
Tüm öğe kaydını gösterKünye
Gergin, Ramazan Eyuep (corresponding author) Gumushane Univ, Irfan Can Kose Meslek Yuksekokulu, Gumushane, TurkiyeÖzet
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.
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https://www.webofscience.com/wos/woscc/full-record/WOS:001011187000002https://hdl.handle.net/20.500.12440/5990