dr. L.P. (Luuk) Veelenturf

Dummy
Rotterdam School of Management (RSM)
Erasmus University Rotterdam
Member ERIM
Field: Logistics & Information Systems
Affiliated since 2007

Luuk Veelenturf is an Associate Professor at the Department of Technology and Operations Management. His research interests lie mainly in the area of real-time transport and mobility operations, with a specific focus on public transport planning, railway disruption management, city logistics, vehicle routing & pickup and delivery variants and data-driven transport operations. A large part of Luuk’s research focuses on sustainable transportation and algorithms to support logistics-related decision making. This is increasingly important, as delivery times and volumes increase. As it is impossible to wait until all information has been collected before decisions are made, smart analytics will become more important.  By improving systems and schedules, Luuk aims to make public transport a more attractive and sustainable alternative to car transportation and make city logistics more efficient, thereby reducing CO2 emissions and congestion.

Publications

  • Academic (19)
    • Yao, Y., Van Woensel, T., Veelenturf, L. P., & Mo, P. (2021). The consistent vehicle routing problem considering path consistency in a road network. Transportation Research Part B: Methodological, 153, 21-44. https://doi.org/10.1016/j.trb.2021.09.005

    • Mo, P., D'Ariano, A., Yang, L., Veelenturf, L. P., & Gao, Z. (2021). An exact method for the integrated optimization of subway lines operation strategies with asymmetric passenger demand and operating costs. Transportation Research Part B: Methodological, 149, 283-321. https://doi.org/10.1016/j.trb.2021.05.009

    • Özarık, S. S., Veelenturf, L. P., Woensel, T. V., & Laporte, G. (2021). Optimizing e-commerce last-mile vehicle routing and scheduling under uncertain customer presence. Transportation Research Part E: Logistics and Transportation Review, 148, [102263]. https://doi.org/10.1016/j.tre.2021.102263

    • Hong, X., Meng, L., D'Ariano, A., Veelenturf, L. P., Long, S., & Corman, F. (2021). Integrated optimization of capacitated train rescheduling and passenger reassignment under disruptions. Transportation Research Part C: Emerging Technologies, 125, [103025]. https://doi.org/10.1016/j.trc.2021.103025

    • Sampaio, AH., Savelsbergh, M., Veelenturf, L., & Van Woensel, T. (2020). Delivery systems with crowd-sourced drivers: A pickup and delivery problem with transfers. Networks, 76(2), 232-255. https://doi.org/10.1002/net.21963

    • Karels, VCG., Veelenturf, L., & Van Woensel, T. (2020). An auction for collaborative vehicle routing: Models and algorithms. EURO Journal on Transportation and Logistics, 9(2). https://doi.org/10.1016/j.ejtl.2020.100009

    • Sun, P., Veelenturf, L., Hewitt, M., & Van Woensel, T. (2020). Adaptive large neighborhood search for the time-dependent profitable pickup and delivery problem with time windows. Transportation Research Part E: Logistics and Transportation Review, 138, [101942]. https://doi.org/10.1016/j.tre.2020.101942

    • Tang, CS., & Veelenturf, L. (2019). The strategic role of logistics in the industry 4.0 era. Transportation Research Part E: Logistics and Transportation Review, 129, 1-11. https://doi.org/10.1016/j.tre.2019.06.004

    • Sun, P., Veelenturf, L., Hewitt, M., & Van Woensel, T. (2018). The time-dependent pickup and delivery problem with time windows. Transportation Research Part B: Methodological, 116, 1-24. https://doi.org/10.1016/j.trb.2018.07.002

    • Sun, P., Veelenturf, L., Dabia, S., & Van Woensel, T. (2018). The time-dependent capacitated profitable tour problem with time windows and precedence constraints. European Journal of Operational Research, 264(3), 1058-1073. https://doi.org/10.1016/j.ejor.2017.07.004

    • Farahani, MM., Chaharsooghi, SK., Van Woensel, T., & Veelenturf, L. (2018). Capacitated network-flow approach to the evacuation-location problem. Computers and Industrial Engineering, 115, 407-426. https://doi.org/10.1016/j.cie.2017.11.026

    • Veelenturf, L., Kroon, LG., & Maroti, G. (2017). Passenger oriented railway disruption management by adapting timetables and rolling stock schedules. Transportation Research Part C: Emerging Technologies, 80, 133-147. https://doi.org/10.1016/j.trc.2017.04.012

    • Dollevoet, T., Huisman, D., Kroon, LG., Veelenturf, L., & Wagenaar, J. (2017). Application of an Iterative Framework for Real-time Railway Rescheduling. Computers and Operations Research, 78, 203-217. https://doi.org/10.1016/j.cor.2016.08.011

    • Haahr, JT. J. T. ., Veelenturf, L., Wagenaar, J., & Kroon, LG. (2016). A Comparison of Two Exact Methods for Passenger Railway Rolling Stock (Re)Scheduling. Transportation Research Part E: Logistics and Transportation Review, 91, 15-32. https://doi.org/10.1016/j.tre.2016.03.019

    • Veelenturf, L., Cacchiani, V., Kidd, M., Kroon, LG., & Toth, P. (2016). A railway timetable rescheduling approach for handling large scale disruptions. Transportation Science, 50(3), 841-862. https://doi.org/10.1287/trsc.2015.0618

    • Veelenturf, L., Potthoff, D. D., Huisman, D., Kroon, LG., Maroti, G., & Wagelmans, A. (2016). A Quasi-Robust Optimization Approach for Crew Rescheduling. Transportation Science, 50(1), 204-215. https://doi.org/10.1287/trsc.2014.0545

    • Zhan, S. S., Kroon, LG., Veelenturf, L., & Wagenaar, J. (2015). Real-Time High-Speed Train Rescheduling in Case of A Complete Blockage. Transportation Research Part B: Methodological, 78, 182-201. https://doi.org/10.1016/j.trb.2015.04.001

    • Cacchiani, V., Huisman, D., Kroon, LG., Kidd, M., Toth, P., Veelenturf, L., & Wagenaar, J. (2014). An Overview of Recovery Models and Algorithms for Real-time Railway Rescheduling. Transportation Research Part B: Methodological, 63, 15-37. https://doi.org/10.1016/j.trb.2014.01.009

    • Veelenturf, L., Potthoff, D. D., Huisman, D., & Kroon, LG. (2012). Railway Crew Rescheduling with Retiming. Transportation Research Part C: Emerging Technologies, 20(1), 95-110. https://doi.org/10.1016/j.trc.2010.09.008

  • Academic (1)
  • Academic (3)
    • Hong, X., Meng, L., Zhang, P., Zhao, F., D'Ariano, A., Veelenturf, L. P., & Corman, F. (2020). Timetable Rescheduling with Reassignment of Rolling Stocks and Passengers under Disruptions. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020 [9294675] Institute of Electrical and Electronics Engineers Inc.. 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020 https://doi.org/10.1109/ITSC45102.2020.9294675

    • Singh, PM., Veelenturf, L., & Van Woensel, T. (2020). Modeling Complex Business Environments for Context Aware Systems. In Enterprise, Business-Process and Information Systems Modeling. (Vol. 387, pp. 242-256). Springer. https://doi.org/10.1007/978-3-030-49418-6_16

    • Veelenturf, L., Kroon, LG., Maroti, G., & Nielsen, LK. L. K. (2012). Passenger Oriented Disruption Management in Railways. In S. Voss, & J. C. Munoz (Eds.), CASPT CASPT.

  • Academic (1)
    • Pel, J., Agatz, N., Macharis, C., & Veelenturf, L. (2018). Technologies and control for sustainable transportation. Transportation Research Part C: Emerging Technologies, 86, 168-170. https://doi.org/10.1016/j.trc.2017.11.006

  • Academic (4)
    • Dollevoet, T., Huisman, D., Kroon, LG., Veelenturf, L., & Wagenaar, J. (2015). An Iterative Framework for Real-time Railway Rescheduling. (EI report serie EI2015-28 ed.) Econometric Institute, Erasmus University. EI report serie Vol. EI2015-28

    • Cacchiani, V., Huisman, D., Kidd, M., Kroon, LG., Toth, P., Veelenturf, L., & Wagenaar, J. (2014). An Overview of Recovery Models and Algorithms for Real-Time Railway Rescheduling. (EI reprint reeks EI-1617 ed.) Econometric Institute, Erasmus University. EI reprint reeks Vol. EI-1617

    • Cacchiani, V., Huisman, D., Kidd, M., Kroon, LG., Toth, P., Veelenturf, L., & Wagenaar, J. (2013). An Overview of Recovery Models and Algorithms for Real-Time Railway Rescheduling. (EI report serie EI 2013-29 ed.) Econometric Institute, Erasmus University. EI report serie Vol. EI 2013-29

    • Veelenturf, L., Potthoff, D. D., Huisman, D., & Kroon, LG. (2009). Railway crew rescheduling with retiming. (EI report reeks EI 2009-24 ed.) DEPARTMENT OF ECONOMETRICS. EI report reeks Vol. EI 2009-24

*Please note that this is a Taiwan EUR Scholarship project. For more information on the scholarship programme, please visit the website of the Ministry of Education (MOE) of Taiwan (https://www.scholarship.moe.gov.tw/top100).*

The ERIM Business Processes, Logistics, and Information Systems (LIS) doctoral program trains students to apply state-of-the-art methodological skills and theoretical knowledge to key challenges that organizations face. Candidates based at the Technology and Operations Management (TOM) Department will participate in research that supports RSM’s mission to be “A Force for Positive Change”.

Candidates are invited to become active members of the large and diverse group of researchers at TOM, and to contribute to both management science as well as management practice in one or more of our three key areas: logistics and supply chain management (SCM section), operations and innovation management (IM section), and next generation business information management systems (BIM section).

Some examples of our current research topics are: Automated Warehousing Systems, Behavioural Operations Management, Big Data Analytics, Business Information Management, Goal Setting, Innovation Management, Creativity, Co-creation, Complex Systems, Leadership, Innovation Strategy, Inventory Management, Last-mile Delivery, Logistics, Omni-channel Assortment Planning, Policies for Collaborative Outbound Logistics, Port and Terminal Operations, Purchasing and Supply Management, Public Transport, Responsible Supply Chains, Risk and Security Management in Global Supply Chains, Supply Chain Management, Sustainability, Transportation, Urban Mobility and the Sharing Economy, and Value-based Purchasing in Healthcare.

We also welcome applicants who work on different or new topics broadly related to innovation, business information, and/or supply chains.

Read more

The ERIM Business Processes, Logistics, and Information Systems (LIS) doctoral program trains students to apply state-of-the-art methodological skills and theoretical knowledge to key challenges that organizations face. Candidates based at the Technology and Operations Management (TOM) Department will participate in research that supports RSM’s mission to be “A Force for Positive Change”.

Candidates are invited to become active members of the large and diverse group of researchers at TOM, and to contribute to both management science as well as management practice in one or more of our three key areas: logistics and supply chain management (SCM section), operations and innovation management (IM section), and next generation business information management systems (BIM section).

Some examples of our current research topics are: Automated Warehousing Systems, Behavioural Operations Management, Big Data Analytics, Business Information Management, Goal Setting, Innovation Management, Creativity, Co-creation, Complex Systems, Leadership, Innovation Strategy, Inventory Management, Last-mile Delivery, Logistics, Omni-channel Assortment Planning, Policies for Collaborative Outbound Logistics, Port and Terminal Operations, Purchasing and Supply Management, Public Transport, Responsible Supply Chains, Risk and Security Management in Global Supply Chains, Supply Chain Management, Sustainability, Transportation, Urban Mobility and the Sharing Economy, and Value-based Purchasing in Healthcare.

We also welcome applicants who work on different or new topics broadly related to innovation, business information, and/or supply chains.

Read more

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