A.P.M. (Albert) Wagelmans

Full Professor
Erasmus School of Economics
Erasmus University Rotterdam
Fellow ERIM
Field: Logistics & Information Systems
Affiliated since 1999

Albert Wagelmans is a professor of Magement Science and the director of the Econometric Institute at Erasmus University Rotterdam.

His current research interests are the development and analysis of optimization methods for production, public transport and health care planning. He has published his scientific work in journals such as Management Science, Operations Research, Transportation Science, Mathematical Programming and Mathematics of Operations Research.

  • Evers, L., Oostrum, J.M. van & Wagelmans, A.P.M. (2010). Levelled bed occupancy and controlled waiting lists using Master surgical schedules.
  • Stepaniak, P.S., Velden, R.A.C. van der, Klundert, J.J. van de & Wagelmans, A.P.M. (2012). Human and artificial scheduling system for operating rooms. In R. Hall (Ed.), Handbook of Healtcare System Scheduling (pp. 155-175). Los Angeles: Springer. http://hdl.handle.net/1765/38666
  • Huisman, D., Jans, R., Peeters, M. & Wagelmans, A.P.M. (2005). Combining Column Generation and Lagrangian Relaxation. In G. Desaulniers, J. Desrosiers & M.M. Solomon (Eds.), Column Generation (GERAD 25th Anniversary Series) (pp. 247-270). New York: Springer.
  • Freling, R., Huisman, D. & Wagelmans, A.P.M. (2001). Applying an integrated approach to vehicle and crew scheduling in practice. In S. Voss & J.R. Daduna (Eds.), Computer-aided scheduling of public transport (pp. 73-90). Berlin: Springer.
  • Freling, R., Wagelmans, A.P.M. & Pinto Paixao, J.M. (1999). An overview of models and techniques for integrating vehicle and crew scheduling. In N.H.M. Wilson (Ed.), Lecture notes in economics and mathematical systems - Computer-aided transit scheduling (pp. 441-460). Berlin: Springer Verlag.
  • Freling, R., Piersma, N. & Wagelmans, A.P.M. (1997). Planning shifts in a 36-hour cyclical roster. In W.K. Kleine Haneveld, O.J. Vrieze & L.C.M. Kallenberg (Eds.), Ten Years LNMB-Ph.D. Research and Graduate Courses of the Dutch Network of Operations Research (CWI Tract, 122) (pp. 31-36). Amsterdam: Centrum voor Wiskunde en Informatica.
  • Evers, L., Barros, A.I., Monsuur, H. & Wagelmans, A.P.M. (2014). Online UAV Mission Planning. In P.J. Oonincx & A.J. Van der Wal (Eds.), Optimal Deployment of Military Systems : Technologies for Military Missions in the Next Decade (NLARMS - Netherlands Annual Review of Military Studies) (pp. 159-178). ASSER PRESS.
  • Wagelmans, A.P.M. & Hoesel, Stan P.M. van (2007). Editorial Introduction: Antoon Kolen. Statistica Neerlandica, 61 (1), 1-3.
  • Freling, R., Romeijn, H.E., Romero-Morales, D. & Wagelmans, A.P.M. (1999). A branch and price algorithm for the muliti-period single-sourcing problem. (Intern rapport, ERASM Management Report Series, no 49-1999). : .
Thomas Breugem

Railway Crew Planning

Kevin Dalmeijer

Time Window Assignment in Distribution Networks

Kristiaan Glorie

Clearing Barter Exchange Markets: Kidney Exchange and Beyond

Erwin Abbink

Crew Management in Passenger Rail Transport

Twan Dollevoet

Delay Management and Dispatching in Railways

Mathijn Jan Retel Helmrich

Green Lot-Sizing

Daniel Potthoff

Railway Crew Rescheduling: Novel Approaches and Extensions

Jeroen van Oostrum

Applying Mathematical Models to Surgical Patient Planning

Improving reliability for railway passengers

After the weather and football, (negative) train experience is the most important topic in a conversation. Every day, there are discussions in the public and media about train delays. In this project, we try to improve the reliability of passenger journeys by developing new models and sophisticated algorithms in railway disruption management.

Delays are considered as the most important dissatisfier for using public transport. Therefore, the reliability of the door-to-door journey must be improved. Since the train system is the backbone of the Dutch public transport system, it is important to improve the train system. The Dutch railway sector recognized this and focus among other things on improving the dispatching process during major disruptions, in the literature also known as disruption management.

In disruption management, the timetable, rolling stock and crew schedules are modified. Algorithms to support these tasks have been developed for some of these processes. However, steps like shunting of rolling stock and dealing with the limited infrastructure within the stations is usually ignored in these algorithms. Therefore, we would like to develop new models and algorithms for these aspects within this PhD project.

Moreover, passenger flows and passenger behaviour are hardly considered in current models and algorithms. In this PhD project, we would like to extend current rescheduling models by considering objectives as minimizing passenger delays. As a consequence, the underlying algorithms have to be modified as well.

In addition, it is important to get a solution in at most a few minutes. Therefore, new Operations Research techniques have to be developed and applied in these algorithms.

Read more


Visiting address

Office: Tinbergen Building H11-03
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam

Work in progress

Evers, L., Oostrum, J.M. van & Wagelmans, A.P.M. (2010). Levelled bed occupancy and controlled waiting lists using Master surgical schedules.

Latest publication

Veelenturf, L.P., Potthoff, D., Huisman, D., Kroon, L.G., Maroti, G. & Wagelmans, A.P.M. (2016). A Quasi-Robust Optimization Approach for Crew Rescheduling. Transportation Science, Accepted. doi: http://dx.doi.org/10.1287/trsc.2014.0545