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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

Ai Abstract Art

Decentralized Physical Infrastructure Network: a…

DePINs, short for Decentralized Physical Infrastructure Networks, refer to physical infrastructure networks managed on a decentralized basis.
Unlike traditional systems based on centralized management by large groups, DePINs involve operation by individuals or small groups.

2024

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Abstract AI Representation Purple

SiaGPT for ESG

In order to promote sustainability and responsible development, respecting ESG criterias to regulate a company's impact on the environment, society and governance has become essential.

2024

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OpenStreetMap from Heka

OpenStreetMap: Using open data and guaranteeing …

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.

2024

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See our publications

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