Mohamed Tkiouat

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About

Mohamed Tkiouat is a leading researcher in decision science and digital transformation, with a particular focus on the integration of fuzzy logic and multi-criteria decision-making frameworks for Industry 4.0. His work addresses the critical challenge of selecting optimal digital technologies—such as robotics, big data, and mobile communications—to enhance productivity and profitability in manufacturing. Tkiouat’s pioneering hybrid-fuzzy-decision-making framework, detailed in his most-cited 2024 paper (9 citations), provides a structured approach for navigating the complexities of digital adoption. He further refined this methodology for the automotive sector in his 2023 study (2 citations), demonstrating how hesitant fuzzy information can guide technology selection under uncertainty. These contributions offer practical tools for industrial companies seeking to implement Industry 4.0 strategies effectively. By bridging theoretical decision models with real-world industrial applications, Tkiouat’s research has significant implications for operational efficiency and strategic planning. His work continues to influence both academic discourse and industry practice, making him a key figure in the ongoing digital revolution.