Operations Research techniques can provide relevant and personalized decision support for operations management.
A team of people passionate about OR topics
The missions of the OR Lab :
Centralizing expertise by positioning ourselves as the single point of contact for systems optimization issues;
Supporting our teams and customers on OR issues by offering software solutions and methodological assistance;
Investing in research topics, allowing us to go further in the accuracy and quality of our modeling.
Our research topics
Quantum
Several emerging technologies are leveraging advances in quantum computing to revolutionize the field of operations research. Aware of the vast opportunity ahead, we remain attentive to market movements and test the reliability of these new technologies against the tenors of classical solutions. Our ambition is to be early adopters of these new technologies to help our clients solve complex use cases.
Use case approach
We apply operations research techniques in various domains: planning, resource placement, vehicle routing, etc. Our activity identifies the best possible methodological approaches to solve these use cases while drawing on state-of-the-art scientific literature.
For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?
In this article, we explore the use of OpenStreetMap for extracting geospatial data and implementing an approach to enhance the overall data quality. We delve into the key steps of data extraction including selecting the area of interest, data collection, cleaning, and preparing data for future use.
Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.