Staff profile

Riccardo Mogre is an Associate Professor in Operations Management and an Associate Fellow of the  Institute of Advanced Studies.

His research focuses on how to make decisions in the presence of risks for problems such as resource allocation, congestion management, and inventory management. His methodological expertise includes techniques such as dynamic programming, queueing theory, and discrete-event simulation.

His research has been funded by the EU and ESRC, among others. He was also awarded a Fulbright Scholarship to conduct research at MIT.

At Durham, Riccardo is the lead of the Operations Management Group, which is part of the Centre for Strategy, Technological Innovation, and Operations of which is also co-director. 

Riccardo currently teaches courses on Business Analytics, Data-driven Innovation, and Project Management to UG, MSc, and MBA students.

His CV is available here.

His working papers are available in his SSRN profile here.

Mini Biography

Riccardo Mogre is an Associate Professor in Operations Management. His research focuses on how to make management decisions in the presence of risks for problems such as resource allocation, congestion management, and inventory management.

• Operations Management
• Supply Chain Management
• Operations Research
• Stochastic Models

Journal Article

• Dynamic Project Expediting: A Stochastic Shortest-Path Approach
  
  Bertazzi, L., Mogre, R., & Trichakis, N. (2023). Dynamic Project Expediting: A Stochastic Shortest-Path Approach. Management Science, 70(6), 3748-3768. https://doi.org/10.1287/mnsc.2023.4876
• Dynamic expediting of an urgent order with uncertain progress
  
  Bertazzi, L., & Mogre, R. (2018). Dynamic expediting of an urgent order with uncertain progress. European Journal of Operational Research, 267(1), 78-85. https://doi.org/10.1016/j.ejor.2017.11.012
• A decision framework to mitigate supply chain risks: an application in the offshore-wind industry
  
  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. https://doi.org/10.1109/tem.2016.2567539
• Mitigating supply and production uncertainties with dynamic scheduling using real-time transport information
  
  Mogre, R., Wong, C., & Lalwani, C. (2014). Mitigating supply and production uncertainties with dynamic scheduling using real-time transport information. International Journal of Production Research, 52(17), 5223-5235. https://doi.org/10.1080/00207543.2014.900201
• How to choose mitigation measures for supply chain risks
  
  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. https://doi.org/10.1080/00207543.2013.828170
• A survey based analysis of IT adoption and 3PLs' performance.
  
  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. https://doi.org/10.1108/13598541211212906