Enseignant Chercheur



Contact information:




    Simon Thevenin is an assistant professor in the Automation, Production, and Computer Sciences Department at the IMT Atlantique, France. He received a Ph.D. from the University of Geneva in 2015 for his work on metaheuristics to solve scheduling problems in production systems. His current research interests focus on optimisation methods for production management, including production scheduling, production planning, and manufacturing line design.

    Career Summary

    • Date Title Place
      2018 -  current Assistant Professor IMT Atlantique, France
      2017 - 2018 Postdoctoral researcher HEC Montréal, Canada
      2015 - 2017 Algorithm Expert Quintiq, Netherlands
      2010 - 2015 Teaching and research assistant University of Geneva, Switzerland


    ASSISTANT ( 2020-2023. 

    The EU-funded ASSISTANT project (project no. 101000165) aims to develop breakthrough solutions for the manufacturing industry, using artificial intelligence to optimize production systems. One keystone of ASSISTANT is the creation of intelligent digital twins. By combining machine learning, optimization, simulation, and domain models, ASSISTANT develops tools and solutions providing all required information to help production managers design production lines, plan production, and improve machine settings for effective and sustainable decisions that guarantee product quality and safety.

    ALICIA ( 2023-2025

    ALICIA aims to create and demonstrate a circular manufacturing ecosystem for production resources such as robotic arms or conveyor belts. The underlying vision is that within five to ten years, production resources will be traded and reused to their maximum utility in-between factories in Europe, ultimately contributing to “closing the loop” of production assets as circular economy subjects.

    ACCURATE  2023-2026

     The ACCURATE project aims to boost the competitiveness of European manufacturing companies and value chains by improving their sustainability, performance stability, resilience, and ability to manage unforeseen events. Such events include both long-term (e.g. pandemic, global conflicts) and short-term (e.g. acts of God as a major earthquake or flood, a fire affecting a facility, or transportation disruptions at a geopolitical chokepoint) resulting in effects such as uncertainty or unavailability of supply, abrupt changes to costs and fulfillment conditions, disruption of production capacity, swift fluctuations in demand, and mismatches between production capability and demand. The effects of disruptive events are notably complex and can propagate throughout the value chain, therefore requiring innovative, holistic approaches that enhance collective supply chain resilience.