Vittorio Solina
Professor Vittorio Solina serves as an Assistant Professor at the University of Calabria, with a robust focus on Industry 4.0 technologies, digital twins, and smart manufacturing. He is notably the Program Chair of the International Conference on Industry 4.0 & Smart Manufacturing and co-coordinates the EU-funded SMALLDERS project (that aims to boost the agrifood sector's local value chains through smart digital models to enhance resilience and sustainability post-COVID-19).
Prof. Solina has pubblished several scientific articles on well recognized international journals and conference. As part of the MSC-LES lab, he supervises the activities of the young researchers and PhDs while providing an unvaluable help in the research Projects management that are ongoing at both the MSC-LES lab and at CAL-TEK. He also strongly supports the organization of the International Multidisciplinary Modeling & Simulation Multiconference (I3M).
Senior Research Scientists
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1. Virtual Reality in Industry 4.0:
Explores the integration of Virtual Reality (VR) and Digital Twins to enhance real-time monitoring and control in manufacturing, focusing on the steel industry to illustrate the practical applications and benefits of immersive technologies.
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2. Sustainable Agricultural Systems:
Leads initiatives to develop ICT platforms that increase the resilience and sustainability of small-scale farmers, integrating stakeholders across the agri-food ecosystem to ensure efficient supply chain dynamics.
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3. Supply Chain Resilience:
Designs simulation models to explore strategies for agri-food supply chains that address disruptions while enhancing local economies and sustainability from a multi-capital perspective.
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4. Supply Chain Optimization Tools:
Investigates the application of advanced software like anyLogistix for improving supply chain management, emphasizing sustainability and resilience in global business environments.
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5. Environmental Impact of Logistics:
Develops Key Performance Indicators (KPIs) for assessing and optimizing the environmental footprint of warehouse operations within automated 4.0 environments.
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6. Autonomous Simulation Systems
Researches auto-generative simulation models for decision support in engineer-to-order manufacturing, aiming to provide adaptable and flexible simulation capabilities that align with Industry 4.0 and 5.0 standards.