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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 künye2020Scopus SJRQ1Evaluating the feasibility of blockchain in logistics operations: A decision framework
Ar, Ilker Murat; Erol, Ismail; Peker, Iskender; Ozdemir, Ali Ihsan; Medeni, Tunc Durmus; Medeni, Ihsan Tolga
The main purpose of this study is to investigate the feasibility of blockchain technology in logistics industry using a quantitative approach. To this end, a decision framework is proposed based on a multi-criteria decision structure that incorporates AHP into VIKOR under Intuitionistic Fuzzy Theory. This integration presents different solutions and rankings based on different decision-making strategies and also captures uncertainty in the evaluation process. While Intuitionistic Fuzzy AHP calculates the importance weights of the proposed criteria indicated as scalability, privacy, interoperability, audit, latency, visibility, trust, and security, Fuzzy VIKOR ranks the logistics operations demonstrated as materials handling, warehousing, order processing, transportation, packaging, fleet management, labeling, vehicle routing and product returns management. The proposed decision framework was applied in a large-scale logistics company located in Turkey. The findings of this study suggest that while the most important criteria are security, visibility and audit, the most feasible logistics operations proved to be transportation, materials handling, warehousing, order processing and fleet management in a possible blockchain implementation. The decision framework in this study may enable decision makers to evaluate the feasibility of blockchain in logistics operations, which is one of the main research gaps in the current blockchain research. Furthermore, this is the first study that integrates AHP and VIKOR methods under Intuitionistic Fuzzy Theory in the context of blockchain.
AtıfScopus138WoS106OpenAlex145İncele


