Rate My Professor Antonino Sgalambro
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About Antonino
Professor Antonino Sgalambro is Full Professor of Operational Research at Leeds University Business School, serving as Head of the Analytics, Technology and Operations Department. He obtained his PhD in Operational Research from the University of Rome “La Sapienza” and holds Senior Fellow of the Higher Education Academy (SFHEA) status. His research specializes in optimisation and decision science methods applied to operations, logistics, supply chain management, locational analysis, transportation, location problems, game theory, urban logistics, and circular economy. Sgalambro has a distinguished career trajectory, including roles as Head of Subject Group and Director of Research at Sheffield University Management School, Prime Researcher at the National Research Council of Italy, and Visiting Researcher at the Montréal CIRRELT in Canada. At Leeds, he demonstrates a long-standing commitment to technology and knowledge transfer through open innovation, actively engaging in international initiatives to foster the adoption of applied analytics in companies, organizations, and SMEs.
Sgalambro's impactful publications demonstrate his contributions to the field. Notable works include 'Closed-loop supply chain design for the transition towards a circular economy: A systematic literature review of methods, applications and current gaps' published in the Journal of Cleaner Production in 2021; 'Modeling dry-port-based freight distribution planning' in Transportation Research Part C: Emerging Technologies in 2015; 'Service network design models for two-tier city logistics' in Optimization Letters in 2014; 'On carriers collaboration in hub location problems' in the European Journal of Operational Research in 2020; 'A game-theoretic multi-stakeholder model for cost allocation in urban consolidation centres' in Annals of Operations Research in 2023; 'Models for the schedule optimization problem at a public transit terminal' in OR Spectrum in 2009; and 'An agent-based framework for modeling and solving location problems' in Top in 2010. These publications address critical challenges in supply chain management, logistics, and decision-making, enhancing practical applications in business and public sectors.