Operations Research towards Technology Transfer:

from Data to Actionable Knowledge


September 5th, 2019

Operations Research (OR) analysts use advanced mathematical and analytical methods to help organizations investigate complex issues, identify and solve problems, and make better decisions. 

The goal of this workshop is to bring together companies and researchers from academia to exchange ideas, knowledge and expertise, promote collaborations and outline the forthcoming landscape for OR driven innovation.

Practitioners and transfer facilitators in OR and Analytics, from academia, OR start-up/spin-off and intermediary organizations, are invited to present their experiences in exploiting the synergy of OR with data analytics, artificial intelligence and machine learning to enable more effective business decisions and more productive systems.


Workshop Programme

Session T8 - Chair: Enza Messina

Boccanegra, 11:00 - 13:00


Mathematics for Optimization

Matteo Longoni – MOXOFF


Stochastic Optimization Model and ML Methods for Merchandising Planning

Ruggiero Scommegna – ORS


Optimization Based Approaches to Digital Marketing and Utilities

Ilaria Giordani, Attilio Redivo – OAKS


Some Lessons Learnt in Building Product-Oriented OR Startup

Fabio Schoen -  Intuendi, University of Firenze

Session T12 - Chair: Laura Palagi

Boccanegra, 15:00 - 16:30

1.  Integrated Approaches to OR Practice, Aiming for Effective Decision Support

Matteo Pozzi – OPTIT

2. The Impact of Machine Learning on OR Practice: The ACTOR’s Experience

Gianni Di Pillo – ACTOR, University of Roma "La Sapienza"

3. Optrail: Pioneering Optimization in the Railway Industry

Veronica Del Sasso – OPTRAIL

4. Towards Autonomous Flexible Picking: Recent Advancements and Challenges

Manolo Garabini – Research Center "E. Piaggio", University of Pisa




Teaching OR: Comparing the Contents of

the OR Courses in Italian Universities


September 5th, 2019

The workshop will present traditional and new forms of teaching OR: projects and results.