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
Fellows and Faculty
Fellows and 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
Overparametrization and the bias-variance dilemma
Johannes Schmidt-Hieber (University of Twente)
- Erasmus Econometric Institute Series
Seminar
| Rotterdam | 12:00 - 13:00
How to Bet on Winners and Losers
André B.M. Souza (ESADE Business School, Spain)
- Erasmus Econometric Institute Series
Seminar
| Rotterdam | 12:00 - 13:00
Title to be announced
Bonsoo Koo (Monash University, Australia)
- Erasmus Econometric Institute Series
Seminar
| Rotterdam | 12:00 - 13:00
Inference in Time-Varying SVARs Identified with Sign Restrictions...
Jonas Arias (Federal Reserve Bank of Philadelphia, United States)
- Erasmus Econometric Institute Series
Seminar
| Rotterdam | 12:00 - 13:00
Title to be announced
Marvin N. Wright (Leibniz Institute for Prevention Research and Epidemiology – BIPS & University of Bremen, Germany)
- Erasmus Econometric Institute Series
Academic Distinctions
February 20, 2025
Editorship
Chintan Amrit
February 20, 2025
Editorship
Chintan Amrit
February 20, 2025
Editorship
Chintan Amrit