Dr Riccardo Mogre, PhD, MSc, BEng
Dr Riccardo Mogre is an Assistant Professor in Operations Management. Before joining Durham University, he was a Lecturer at Hull University Business School and its Logistics Institute. Prior to that, he worked as a project manager for a market research company. He is an external member of the Centre for Supply Chain Management at the University of Auckland, New Zealand. He also held a visiting position at the University of California, Los Angeles. He received a BEng in Industrial Engineering and an MSc and a PhD, both in Operations and Supply Chain Management, from Politecnico di Milano, Italy.
His research focuses on how to make management decisions in presence of risks with applications in manufacturing systems and supply chains. In particular, he is interested in analysing how the adoption of information technologies could help companies in offering value-added services while mitigating operational risks. His research has been funded by the European FP7, the Technology Strategy Board and the White Rose Consortium.
He’s the Academic Director of the MSc in Business Analytics and is the Leader of the Technology Pathway for the Full-time MBA programme. He currently teaches MBA courses on Business Analytics, Management Decision Making, and Project Management.
Dr Riccardo Mogre is an Assistant Professor in Operations Management and the Academic Director of the MSc in Business Analytics. His research examines the effects of technology and risks on operations and supply chains.
- Operations Management
- Supply Chain Management
- Stochastic Models
- 1: Bertazzi, L. & Mogre, R. (2018). Dynamic expediting of an urgent order with uncertain progress. European Journal of Operational Research 267(1): 78-85.
- 2: Mogre, R., Talluri, S. & D’Amico, F. (2016). A decision framework to mitigate supply chain risks: an application in the offshore-wind industry. IEEE Transactions on Engineering Management 63(3): 316-325.
- 3: Mogre, R., Wong, C.Y. & Lalwani, C.S. (2014). Mitigating supply and production uncertainties with dynamic scheduling using real-time transport information. International Journal of Production Research 52(17): 5223-5235.
- Micheli, G., Mogre, R. & Perego, A. (2014). How to choose mitigation measures for supply chain risks. International Journal of Production Research 52(1): 117-129.
- Evangelista, P., Mogre, R., Perego, A., Raspagliesi, A. & Sweeney, E. (2012). A survey based analysis of IT adoption and 3PLs' performance. Supply Chain Management 17(2): 172-186.