Hafida Bouloiz

Papers

Total Citations

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About

Dr. Hafida Bouloiz is a leading researcher in industrial engineering and digital transformation, with a particular focus on the strategic adoption of Industry 4.0 technologies. Her work centers on decision-making under uncertainty, notably applying hesitant fuzzy information models to help manufacturing sectors—especially the automotive industry—select optimal digital tools for smart factories. Her most-cited paper, "Digital Technologies Selection under Hesitant Fuzzy Information: The Case of the Automotive Sector" (2023), addresses the critical challenge of integrating big data, robotics, and mobile communications into production systems. This contribution has already garnered attention with 2 citations, reflecting its timely relevance as industries worldwide navigate the complexities of digitalization. Dr. Bouloiz’s research bridges theoretical fuzzy logic with practical industrial applications, offering robust frameworks for technology selection that reduce risk and enhance operational efficiency. Her work is particularly valuable for engineers and managers seeking evidence-based pathways to implement Industry 4.0. By advancing methods for handling vague and incomplete information, she empowers decision-makers to confidently embrace digital transformation, positioning her as a key voice in the evolution of modern manufacturing.