Ç. Karademir, B. A. Beirigo, and B. Atasoy. “A two-echelon multi-trip vehicle routing problem with synchronization for an integrated water- and land-based transportation system.” European Journal of Operational Research 322(2), 480–499. DOI
Breno Alves Beirigo
Assistant Professor of Stochastic Operations Research
University of Twente
I develop operational decision methods for coordinating people, robots, vehicles, vessels, drones, and shared resources in dynamic logistics systems.
Research program
Dynamic Multi-Agent Operations
Operational decision methods for coordinating heterogeneous agents and shared resources in dynamic logistics systems.
Agents
People
Robots
Vehicles
Vessels
Drones
Shared resources
Space
Energy
Capacity
Time
Select a research area to see how projects combine these decisions.
Synchronized operations
Resource-efficient online decisions
Move, wait, charge, or reposition
Select the immediate action that balances service, future demand, and resource use.
Share energy, capacity, space, and time
Allocate scarce resources when the decisions of multiple agents are coupled.
Adapt as the system state changes
Respond to new requests, delays, disruptions, and changing resource states.
Selected publications
View publications →B. A. Beirigo, F. Schulte, and R. R. Negenborn. “A learning-based optimization approach for autonomous ridesharing platforms with service-level contracts and on-demand hiring of idle vehicles.” Transportation Science 56(3), 677–703. DOI
B. A. Beirigo, R. R. Negenborn, J. Alonso-Mora, and F. Schulte. “A business class for autonomous mobility-on-demand: Modeling service quality contracts in dynamic ridesharing systems.” Transportation Research Part C 136, 103520. DOI
Courses
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Supervision
View supervision and Thesis Toolkit →Cigdem Karademir
Predictive fleet management for stochastic and dynamic integrated water–land transportation.
B.G.J. Arens
Online order batching for warehouse picking with delivery deadlines.
Thesis Toolkit
Collaboration guidance, writing resources, milestones, templates, checks, and completed thesis examples.
Articles
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Learning in an AI Era
AI can generate content fast, but human taste, judgment, and creativity still decide what matters.
The Importance of Using Toy Examples
Toy examples distill complex models and make the core contribution easier to understand.
Why Model If I Can’t Solve It?
Even when large instances cannot be solved optimally, models clarify assumptions and strengthen rigor.
Interactive research
Logistics Lab
Logistics Lab is the public home for interactive logistics experiments, simulations, and research applications.