
About
Giovanni Mazzuto is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche (UNIVPM). His research focuses on digital twin technology, smart retrofitting, and predictive maintenance for industrial systems, particularly in the oil & gas and food manufacturing sectors. He actively explores the intersection of artificial intelligence, systems modeling, and human-machine integration to enhance operational resilience and sustainability.
Research Highlights:
• Pioneering work on smart retrofit architectures for industrial equipment
• Development of Digital Twin frameworks for production line optimization
• Application of association rule mining and machine learning to solve scheduling problems
• Analysis of ripple effects in supply chain resilience
• Integration of Swarm Intelligence and Fuzzy Cognitive Maps for decision-making systems
Key Collaborations:
• Contributions to Industry 4.0 and 5.0 initiatives
• Development of intelligent mechatronics solutions for oil & gas control valves
• Research on agile and flexible manufacturing systems for deformable products
• Exploration of cyber-socio-technical systems modeling for complex industrial environments
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