Operations Analytics
The Operations Analytics program conducts research on challenging topics in descriptive, prescriptive, and predictive analytics. These research topics are inspired by real-life problems and innovative strategies in data-driven decision making. The methodologies employed by the members of this research group include artificial intelligence, mathematical optimization, algorithm development, and operations research. These methods are applied to various fields such as logistics, healthcare, energy systems, and sustainability.
Operations Analytics
The Operations Analytics program conducts research on challenging topics in descriptive, prescriptive, and predictive analytics. These research topics are inspired by real-life problems and innovative strategies in data-driven decision making. The methodologies employed by the members of this research group include artificial intelligence, mathematical optimization, algorithm development, and operations research. These methods are applied to various fields such as logistics, healthcare, energy systems, and sustainability.
Our people
Faculty
Faculty
PhD Students
PhD Students
Key publications
Peng, Y., Fu, MichaelC., Heidergott, B. and Lam, H. (2020). Maximum likelihood estimation by monte carlo simulation: Toward data-driven stochastic modeling Operations Research, 68(6):1896--1912.
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.
Berkhout, J. and Heidergott, BerndF. (2019). Analysis of Markov influence graphs Operations Research, 67(3):892--904.
Peng, Y., Fu, MichaelC., Hu, J.Q. and Heidergott, B. (2018). A new unbiased stochastic derivative estimator for discontinuous sample performances with structural parameters Operations Research, 66(2):487--499.
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.
Upcoming events
Seminar
| Rotterdam | 12:00 - 13:00
Assessing solution quality in risk-averse stochastic programmes
Ruben van Beesten (Erasmus University Rotterdam)
- Erasmus Econometric Institute Series
Open Day
| Rotterdam | 10:00 - 16:00
EUR Master Open Day (Hybrid event)
Seminar
| Rotterdam | 12:00 - 13:00
Network Dual Reoptimisation Policies and Bounds for Managing...
Alessio Trivella (University of Twente)
- Erasmus Econometric Institute Series
Academic Distinctions
October 01, 2019
Outstanding Simulation Publication Award for Bernd Heidergott...
Bernd Heidergott