Operations Analytics
Research in the Operations Analytics program investigates challenging topics in descriptive, prescriptive and predictive analytics inspired by real-life problems and novel strategies in logistics and operations management. The impact of Data Science on Supply Chain Functions is rapidly growing. Some of the most promising applications that today’s students are working on are expected to disrupt many supply chain functions, including demand forecasting, distribution, call centers, procurement, and pricing.
Operations Analytics
Research in the Operations Analytics program investigates challenging topics in descriptive, prescriptive and predictive analytics inspired by real-life problems and novel strategies in logistics and operations management. The impact of Data Science on Supply Chain Functions is rapidly growing. Some of the most promising applications that today’s students are working on are expected to disrupt many supply chain functions, including demand forecasting, distribution, call centers, procurement, and pricing.
Our people
Faculty
Faculty
PhD Students
PhD Students
Key publications
Paradiso, R., Roberti, R., Lagana, D. and Dullaert, W. (2020). An exact solution framework for multitrip vehicle-routing problems with time windows Operations Research, 68(1):180--198.
Hoogeboom, M., Battarra, M., Erdoǧan, G. and Vigo, D. (2016). Erratum: Exact Algorithms for the Clustered Vehicle Routing Problem (Operations Research (2014) 62:1 (58-71)) Operations Research, 64(2):456--457.
Battarra, M., Erdogan, G. and Vigo, D. (2014). Exact Algorithms for the Clustered Vehicle Routing Problem Operations Research, 62(1):58--71.
Birbil, S., Frenk, J., Gromicho Dos Santos, J.A. and Zhang, S. (2009). The role of robust optimization in single-leg airline revenue management Management Science, 55(1):148--163.