Dr Sina Rastani
Management School
Lecturer in Operations Management


020 3923 6344
Full contact details
Management School
C100
Sheffield СŷÊÓÆµ Management School
Conduit Road
Sheffield
S10 1FL
- Profile
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Sina is a Lecturer in Operations Management at Sheffield СŷÊÓÆµ Management School. Before joining СŷÊÓÆµ of Sheffield, Sina worked as an assistant professor in Industrial Engineering at Yeditepe СŷÊÓÆµ. In this role, he taught courses and conducted research on operations research and optimisation applications related to logistics and supply chain network design.
Also, during his PhD, he worked in the Smart Mobility Lab at Sabanci СŷÊÓÆµ on the logistics and transportation problems developing solution methodologies, especially to solve real-world problems. His research interests are modelling optimisation problems, especially related to supply chain networks and logistics operations, and applying operational research methodologies to solve complex real-world problems.
- Qualifications
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- PhD in Industrial Engineering, Sabanci СŷÊÓÆµ
- MSc in Industrial Engineering, K. N. Toosi СŷÊÓÆµ of Technology
- BSc in Industrial Engineering, Tabriz СŷÊÓÆµ
- Research interests
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- Combinatorial optimization
- Modelling and optimisation
- Transportation and Logistics System Design
- Graph Theory and Network Optimisation
- Facilities Location and Distribution System
- Large Scale Optimisation
- Publications
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Journal articles
- Research group
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Centre for Applied Research in Logistics, Operations and Supply Chain Management
- Grants
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Research, Knowledge Exchange and Impact Stimulation Fund-СŷÊÓÆµ of Sheffield (Co-I) 2023-2024, £3000
- Teaching activities
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- MGT138 Analysis for Decision Making;
- MGT 3011 Decision Sciences and Optimisation
- MGT 6046 Operations and Supply Chain Management
- PhD Supervision
Sina is passionate about supervising dedicated and driven PhD students in the fields of logistics operations, network design, mathematical modelling, and optimisation. With a focus on routing and facility location problems, Sina aims to contribute to the advancement of scientific knowledge by developing models that accurately capture real-world complexities and enhance decision-making processes.
Are you interested in applying for a PhD?