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Operations Research

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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.

AI solutions for Operations Research

Our publications

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Boosting search engine capabilities of RegReview:…

RegReview is an AI solution for compliance teams, to automate regulatory monitoring and processes, which brings together several tools, the most essential of which is a search engine operating on a compiled database of custom-built regulatory sources.

The database contains ~300k documents.

2023

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Labeling text clusters with keywords

We propose to explore several keyword extraction techniques to label text clusters obtained after a Text Clustering or a Topic Modeling pipeline. This work is following our previous articles about Topic Modeling and Text Clustering (here and here).

2023

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Synthetic data or how to share sensitive data…

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?

2023

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See our publications

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