We are organizing the stream "Prescriptive Analytics in Operations Management" at the upcoming IFORS 2026 conference, taking place 12-17 July 2026 in Vienna, Austria.
The stream aims to bring together researchers working at the intersection of operations management, optimization, and data-driven decision-making. We particularly welcome research that develops or applies prescriptive analytics methods to support operational decisions in complex, data-rich environments. Topics of interest include, but are not limited to:
* Data-driven optimization and decision-focused learning
* Predict-then-optimize and integrated prediction-decision frameworks
* Robust and distributionally robust optimization
* Reinforcement learning and AI methods for operational decision-making
* Supply chain analytics and logistics optimization
* Pricing, revenue management, and marketplace design
* Transportation, mobility, and service operations
* Healthcare operations and other emerging OM applications
We warmly invite you to join us by:
* Organizing a session (as a session chair)
* Giving a talk (as a contributing speaker)
If you're interested, please indicate your interest via the Google Sheet below:
https://docs.google.com/spreadsheets/d/1N75fOO9TvJRHDxuk_hvVPC_pvHwy2LugfDgtPLxbyQs/edit?usp=sharing
Each session consists of 3-4 presentations. As a session chair, you may organize a group of speakers on a coherent topic and chair the session. If you would simply like to contribute a presentation, we are happy to help you find a session.
Key Dates
* Abstract deadline: 15 March 2026
* Registration deadline: 25 April 2026
Location: University of Vienna, Austria - a beautiful historic venue in the heart of Europe.
Conference Info: https://ifors2026.at/home/
Feel free to share with your networks. We look forward to your participation!
Warm regards,
Alena Otto on behalf of
Melvyn & Qinshen
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[Nanyang Business School Logo Nanyang Business School Empowers Its]
Asst Prof TANG QINSHEN
Assistant Professor, College of Business (Nanyang Business School) - Division of Information Technology & Operations Management
91 Nanyang Avenue, ABS > ABS 06 > ABS 06 042, Singapore 639956
qinshen.tang@ntu.edu.sg<mailto:qinshen.tang@ntu.edu.sg> https://dr.ntu.edu.sg/entities/person/Tang-Qinshen
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