Dr Antonino Sgalambro
PhD, SFHEA.
Management School
Head of Operations Management and Decision Sciences Subject Group
Senior Lecturer in Operations Research
+44 114 222 3393
Full contact details
Management School
Room B065
Sheffield University Management School
Conduit Road
Sheffield
S10 1FL
- Profile
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Dr Antonino Sgalambro is Head of the Operations Management and Decision Sciences (OMDS) Subject Group.
He is a Senior Lecturer in Operations Research and joined Sheffield University Management School in 2016.
Antonino is a Senior Fellow of the Higher Education Academy and holds a PhD in Operations Research from the University of Rome "La Sapienza".
His research focuses mainly on Operations Research, Optimisation, Logistics and Supply Chain Management, Decision Support Systems.
Antonino has been visiting researcher at the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) in Montreal, Quebec, Canada and, since 2012, a researcher at the National Research Council of Italy.
He is the author of many scientific papers published on peer-reviewed international journals in Operations Research and Management Science.
- Research interests
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Antonino is an active researcher in the field of Operations Research, Optimisation, Logistics and Supply Chain Management, Decision Support Systems.
He published original scientific results on peer-reviewed international journals, dealing with Discrete Optimisation and Network Design problems inspired by real challenges in Operations and Supply Chain Management, Logistics, Transportation, and Telecommunication.
He is currently supervising two PhD students in the field of Operations Research and Supply Chain Management.
- Publications
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Journal articles
- A hybrid modified-NSGA-II VNS algorithm for the Multi-Objective Critical Disruption Path Problem. Computers & Operations Research, 106363-106363.
- Advanced network connectivity features and zonal requirements in Covering Location problems. Computers & Operations Research, 106307.
- Closed-loop supply chain design for the transition towards a circular economy: A systematic literature review of methods, applications and current gaps. Journal of Cleaner Production, 129101-129101.
- A game-theoretic multi-stakeholder model for cost allocation in urban consolidation centres. Annals of Operations Research, 1-24.
- On carriers collaboration in hub location problems. European Journal of Operational Research, 283(2), 476-490. View this article in WRRO
- A branch and price algorithm to solve the quickest multicommodity k-splittable flow problem. European Journal of Operational Research, 282(3), 846-857. View this article in WRRO
- Designing a web spatial decision support system based on analytic network process to locate a freight lorry parking. Sustainability, 11(20). View this article in WRRO
- A matheuristic approach for the Quickest Multicommodity k-Splittable Flow Problem. Computers and Operations Research, 92, 111-129. View this article in WRRO
- Mathematics building networks: the Sportello Matematico per l’Industria Italiana (SMII). Lettera Matematica, 3(3), 95-100.
- La Matematica che fa rete: lo Sportello Matematico per l’Industria Italiana. Lettera Matematica Pristem, 93(1), 4-9.
- Modeling dry-port-based freight distribution planning. Transportation Research Part C: Emerging Technologies, 55, 518-534. View this article in WRRO
- Service network design models for two-tier city logistics. Optimization Letters, 8(4), 1375-1387.
- An extension of the schedule optimization problem at a public transit terminal to the multiple destinations case. Public Transport, 3(3), 189-198.
- An Agent-Based framework for modeling and solving location problems. TOP, 18(1), 81-96.
- A fast heuristic algorithm for the maximum concurrent k-splittable flow problem. Optimization Letters, 4(1), 37-55.
- Models for the schedule optimization problem at a public transit terminal. OR Spectrum, 31(3), 465-481.
- On the approximation of the single source k-splittable flow problem. Journal of Discrete Algorithms, 6(2), 277-289.
- An exact approach for the maximum concurrent k-splittable flow problem. Optimization Letters, 2(2), 251-265.
- Fluidsim: A Car Traffic Simulation Prototype Based on FluidDynamic. Algorithms, 3(3), 294-310.
Chapters
- Minisymposium: EU-MATHS-IN: Success Stories of Mathematical Technologies in Societal Challenges and Industry, Progress in Industrial Mathematics at ECMI 2016 (pp. 189-191). Springer International Publishing
- On the Italian Network of Industrial Mathematics and Its Future Developments: Sportello Matematico per l’Industria Italiana, Mathematics in Industry (pp. 173-178). Springer International Publishing
Conference proceedings papers
- ASSESSING STAKEHOLDERS’ CONFLICTS IN URBAN LOGISTICS NETWORKS THROUGH ANALYTIC HIERARCHY PROCESS. The International Symposium on the Analytic Hierarchy Process
- A Review of the Penetration of Sustainability Criteria in Closed-Loop Supply Chain. 8th International Workshop – Advances in Cleaner Production (pp 127-128). Sanya,China, 13 November 2019 - 15 November 2019. View this article in WRRO
- Network Interdiction through Length-Bounded Critical Disruption Paths: a Bi-Objective Approach. Electronic Notes in Discrete Mathematics, Vol. 52 (pp 375-382) View this article in WRRO
- Optimizing Emergency Transportation through Multicommodity Quickest Paths. Transportation Research Procedia, Vol. 10 (pp 756-765)
- A Multiperiod Maximal Covering Location Model for the Optimal Location of Intersection Safety Cameras on an Urban Traffic Network. Procedia - Social and Behavioral Sciences, Vol. 108 (pp 106-117)
- Mathematical Desk for Italian Industry: An Applied and Industrial Mathematics Project. Procedia - Social and Behavioral Sciences, Vol. 108 (pp 79-95)
- The Spatially Equitable Multicommodity Capacitated Network Flow Problem (pp 196-209)
Presentations
- Network Design Models for Closed-Loop Supply Chains: A Literature Review and a Research Agenda. View this article in WRRO
- A Review of the Penetration of Sustainability Criteria in Closed-Loop Supply Chain Network Design Problems.
Preprints
- A hybrid modified-NSGA-II VNS algorithm for the Multi-Objective Critical Disruption Path Problem. Computers & Operations Research, 106363-106363.
- Research group
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Operations Management and Decision Sciences (OMDS)
- Logistics and Supply Chain Management
- Sustainable Production and Consumption
- Information Management and Decision Sciences
- Teaching activities
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Antonino is currently leading the following modules at the Sheffield University School of Management:
MGT3011 Decision Sciences and Optimisation: an undergraduate module for students of the third year of the course in Business Management.
It provides an extensive overview on methodologies for supporting decision making within complex systems, with particular emphasis on industry and business management.
Real-world success cases arising in manufacturing, healthcare, logistics and service management are analysed, where the combined use of Decision Support Systems and Optimisation Methods secured a breakthrough support for strategic and operational management to achieve optimal solutions while satisfying all system constraints.
MGT6155 Supply Networks Management: a postgraduate module which enables the students of the MSc course in Logistics and Supply Chain Management to understand and face the challenges arising from complex supply networks across different industries, introducing the relevant principles and management frameworks to effectively identify and analyse the problems associated with network management.
- PhD Supervision
Some PhD projects are currently open for students with scientific interests in the following areas:
- Optimisation in Logistics, Operations and Supply Chain Management
- Efficient algorithms for NP-Hard problems in Network and Discrete Optimisation
- Locational Analysis and Spatial Decision Making
- Optimisation for Safety, Security and Emergency problems
- DSS in Humanitarian Logistics and Healthcare Management
For further information on PhD open projects please send a message with your CV to: a.sgalambro@sheffield.ac.uk