Metadata
Title
Stochastic Operations Research
Category
general
UUID
88b4b5049b65431e85d6773d24e3f67d
Source URL
https://www.tue.nl/en/research/research-groups/mathematics/statistics-probabilit...
Parent URL
https://www.tue.nl/en/research
Crawl Time
2026-03-17T02:21:07+00:00
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Stochastic Operations Research

Source: https://www.tue.nl/en/research/research-groups/mathematics/statistics-probability-and-operations-research/stochastic-operations-research Parent: https://www.tue.nl/en/research

Department of Mathematics and Computer Science

Stochastic Operations Research

Stochastic Operations Research (SOR) is concerned with complex systems that operate under randomness and uncertainty, and aims to develop mathematical models and techniques for the analysis and optimization of such systems.

Making sense of randomness to improve network performance

Methodologically, the SOR research program falls at the intersection of Applied Probability and Operations Research, and the SOR group in particular engages in cutting-edge research in the area of queueing theory and analysis of random walks and higher-dimensional Markov processes. A key aim is to develop analytic, probabilistic, algorithmic and asymptotic methods, with emphasis on asymptotic laws and scaling limits for large-scale critical systems. While fundamental and methodological in nature, the research is deeply inspired by applications in computer-communications, logistics and service operations, but also biological systems, particle interactions and social networks.

Read more

The results provide insight in the design of resource management strategies and data-driven learning schemes to improve the performance of vital societal networks (internet, wireless networks, dimensioning of large-scale systems, energy, smart road traffic, healthcare). A strong emerging interest revolves around methods for exploiting the increasing availability of high-volume high-quality data to make better strategic, tactical and operational decisions. A further central theme is the relation between local and global network dynamics. While many networks themselves are too complex to describe in full detail, the local dynamics tend to provide a critical mathematical handle to understand global behavior of network processes.

Senior group members

Marko Boon, Sem Borst, Onno Boxma, Johan van Leeuwaarden, Stella Kapodistria, Jacques Resing, Maria Vlasiou, Bert Zwart

Collaborations

Academic: EE Department TU/e, IE&IS Department TU/e, Caltech, CWI, Hebrew University Jerusalem, Heriot-Watt University Edinburgh, ISAE Supaero Toulouse, Leiden University, Macquarie University, ParisTech, Technion, University of Amsterdam, University of Haifa, University of Hong Kong, University of Lausanne, University of Wroclaw

Industrial: ASML, CQM, Hilti, Hotflo, LIME, Nokia Bell Labs, Philips Healthcare, Philips Lighting, Quintig, TNO, VDL/ETG, Verkeersonderneming

Close

NWO Gravitation project Networks

Transportation, traffic, communication and energy networks form the backbone of our modern society. To deal with the uncertainty, variation, unpredictability, size and complexity inherent in these networks, we need to develop radically new ways of thinking. The ultimate goal is to build self-organizing and intelligent networks.

NETWORKS is a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research.

Meet some of our Researchers

[Full Professor \ (Part-time)

Bert Zwart](https://www.tue.nl/en/research/researchers/bert-zwart)[University Researcher

### Guido Janssen](https://www.tue.nl/en/research/researchers/guido-janssen)[Full Professor \ (Part-time)

Onno Boxma](https://www.tue.nl/en/research/researchers/onno-boxma)[Assistant Professor

Collin Drent](https://www.tue.nl/en/research/researchers/collin-drent)[Associate Professor

Stella Kapodistria](https://www.tue.nl/en/research/researchers/stella-kapodistria)[Assistant Professor

Jaron Sanders](https://www.tue.nl/en/research/researchers/jaron-sanders)[Assistant Professor

Marko Boon](https://www.tue.nl/en/research/researchers/marko-boon)[Assistant Professor

Jacques Resing](https://www.tue.nl/en/research/researchers/jacques-resing)[Full Professor

Sem Borst](https://www.tue.nl/en/research/researchers/sem-borst)

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Recent Publications

Our most recent peer reviewed publications

Statistical Analysis and Data Mining

(2026)

N.G.P. Den Teuling,E. R. van den Heuvel](https://research.tue.nl/nl/publications/b5f1602a-7984-4236-90bc-39a4a3f17334) - [### Fluid limits for interacting queues in sparse dynamic graphs

Stochastic Processes and their Applications

(2026)

Diego Goldsztajn,Sem C. Borst,Johan S.H. van Leeuwaarden](https://research.tue.nl/nl/publications/001e1e3e-eb35-4b67-b3be-b8e9642b9433) - [### Priorities at the end of service

Stochastic Models

(2026)

Onno Boxma,Yoav Kerner](https://research.tue.nl/nl/publications/f39f6b97-4645-4854-9abe-de7c94fbb34c) - [### A polling model with threshold switching

Queueing Systems

(2025)

Onno Boxma,David Perry,Rachel Ravid,Uri Yechiali](https://research.tue.nl/nl/publications/9746932f-6c42-4878-94ec-37115441572c) - [### ASIP tandem queues with Lévy input and consumption

Performance Evaluation

(2025)

Onno Boxma,Offer Kella,Jacques Resing](https://research.tue.nl/nl/publications/bbfb31b9-100c-46b8-90b1-c8533d387584)

Contact

Department of Mathematics and Computer Science

PO Box 513

5600 MB Eindhoven

Netherlands - ### Postal address

Department of Mathematics and Computer Science

PO Box 513

5600 MB Eindhoven

Netherlands - ### Visiting address

MetaForum

Groene Loper 5

5612 AP Eindhoven

Netherlands - ### Visiting address

MetaForum

Groene Loper 5

5612 AP Eindhoven

Netherlands - ###

Teamlead

s.c.borst@remove-this.tue.nl - ###

Teamlead

o.j.boxma@remove-this.tue.nl