Projects per year
Personal profile
Research profile
My research focuses on developing innovative, efficient new algorithms and methods for emerging logistics applications. Much of my research is inspired by pressing societal issues, including the renewable energy transition, the need for greening transportation, the adoption of AI in business, and the digitalization of supply chain management and e-commerce. I am practically driven but methodology oriented and therefore combine rigorous domain knowledge with mathematical programming and AI-based decision-making.
I am advisor of the following PhD students:
- Sifanur Celik (Service-Oriented Vehicle Routing under Uncertainty)
- Bartu Arslan (Pricing, Fulfillment, and Replenishment for Omnichannel Retail)
- Arya Zamal (Same and Next-Day Delivery in Megacities)
- Miguel Chastre (Joint Dynamic and Static Decision Making)
- Casper Bazelmans (Algorithms for Road Transport Decision Support )
- Sezen Ece Kayacik (Stochastic Optimization for Green Hydrogen Logistics - University of Groningen)
- Umur Hasturk (Stochastic Optimization for Green Hydrogen Logistics - University of Groningen)
Academic background
I am an assistant professor of transport and logsitics at the Eindhoven University of Technology. I obtained my Bsc and Msc (2015, cum laude) and PhD (2020) in Operations Research from the University of Groningen, the Netherlands. My PhD, with advisors prof. dr. Iris Vis and dr. Evrim Ursavas, focussed on the design of exact and heuristics algorithms for optimization problems in Distributed Logistics. I was a visiting research scholar at the Georgia Institute of Technology and the Loyola University Chicago. My research is internationally recognized and led to publications in, amongst others, Transportation Science, Operations Research, and Transportation Research Part C.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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AI-based IT solutions for Green and Resilient Road-Transport Planning
1/01/22 → 30/04/28
Project: Research direct
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Exact Two-Step Benders Decomposition for Two-Stage Stochastic Mixed-Integer Programs
Celik, S., Martin, L., Schrotenboer, A. H. & van Woensel, T., 5 Jun 2023, arXiv.org, p. 1-33, 33 p.Research output: Working paper › Preprint › Academic
Open AccessFile65 Downloads (Pure) -
Reliable Reserve-Crew Scheduling for Airlines
Schrotenboer, A., Wenneker, R., Ursavas, E. & Zhu, S. X., Oct 2023, In: Transportation Research. Part E: Logistics and Transportation Review. 178, 21 p., 103283.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile7 Downloads (Pure) -
Stochastic Inventory Routing with Time-Based Shipment Consolidation
Sonntag, D. R., Schrotenboer, A. & Kiesmuller, G. P., 1 May 2023, In: European Journal of Operational Research. 306, 3, p. 1186-1201 16 p.Research output: Contribution to journal › Article › Academic › peer-review
File2 Citations (Scopus)128 Downloads (Pure) -
The Two-Echelon Vehicle Routing Problem with Pickups, Deliveries, and Deadlines
Zamal, A., Schrotenboer, A. & Van Woensel, T., 9 Sept 2023, Social Science Research Network (SSRN), 44 p.Research output: Working paper › Preprint › Academic
Open AccessFile -
The Two-Echelon Vehicle Routing Problem with Time Windows, Intermediate Facilities, and Occasional Drivers
Yu, V. F., Jodiawan, P., Schrotenboer, A. & Hou, M-L., 30 Dec 2023, In: Expert Systems with Applications. 234, 30 p., 120945.Research output: Contribution to journal › Article › Academic › peer-review
Prizes
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Learning the future of complex decisions: A new mathematical approach
Schrotenboer, Albert (Recipient), 5 Apr 2022
Prize: NWO › Veni › Scientific