PhD Defence: Joris Camiel Wagenaar
In his dissertation ‘Practice Oriented Algorithmic Disruption Management in Passenger Railways’ ERIM’s Joris Camiel Wagenaar addresses a question railway companies face on a daily basis, namely how to deal with a disruption? How can you handle a disruption such that the passenger service is upheld as much as possible?
Joris defended his dissertation in the Senate Hall at Erasmus University Rotterdam on Thursday, 8 September 2016 at 11:30. His supervisor was Prof. L.G. Kroon and his co-supervisor was Prof. A.P.M. Wagelmans. Other members of the Doctoral Committee were Prof. D. Huisman (ESE), Prof. R. Borndorfer, and Dr. R.M. Lusby.
About Joris Camiel Wagenaar
Joris Camiel Wagenaar was born February 11th 1989 in Rotterdam, the Netherlands. In 2006 he graduated from highschool at College het Loo in Voorburg. He first obtained a B.Sc in Econometrics and Operations Research at the Erasmus School of Economics, Erasmus University Rotterdam. Thereafter he got a master's degree in Econometrics and Management Science, specialized in Operations Research and Quantitative Logistics. He started his PhD research in practice oriented algorithmic disruption management in passenger railways in 2012 at the Rotterdam School of Management. Furthermore, he spent three months at the Technical Univerisity of Denmark to work closely together with the research group of Professor David Pissinger.
The research described in this thesis has been presented at many international conferences, such as TRISTAN, CASPT, INFORMS, and IFORS. Furthermore, his research has led to several awards and publications. At the moment of writing, he has 2 publications in Transportation Research Part B: Methodological, two publications in Transportation Science, and one publication in Transportation Research Part E: Logistics and Transportation Review. Furthermore, three of his papers are in reviewing process. He got the third and second prize in the Student Paper Award competition of the Railway Application Section of Informs in 2014 and 2015. He also won the best student paper award at the TRAIL conference in 2013.
Thesis Abstract
This thesis addresses a question railway companies face on a daily basis, namely how to deal with a disruption? How can you handle a disruption such that the passenger service is upheld as much as possible? The current mathematical models for disruption management cannot yet be applied in practice, because several important practical considerations are not taken into account. In this thesis several models are presented taking important practical details into account: (1) creating a macroscopic globally feasible solution for all three resource schedules, instead of focussing on one individual resource schedule. (2) Taking maintenance appointments required by certain rolling stock units into account while rescheduling. (3) Dead-heading trips to transfer rolling stock units from stations with a surplus of inventory to stations with a shortage of inventory. (4) Adjusted passenger demand, the passenger demand is not static, but depends on the capacity appointed to the previous trips. Finally, (5) checking whether a rolling stock circulation is feasible with respect to the available depot tracks (the shunting yard) within a station. We make use of different techniques to solve the models, for instance, mixed integer linear programming, column generation, constraint programming, and heuristic models are used in this thesis. The results demonstrate that these five practical considerations can be taken effectively into account in the disruption management models.
Photos: Chris Gorzeman / Capital Images
