Michel Gourgand

Université Clermont Auvergne, Centre National de la Recherche Scientifique

Papers

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About

Michel Gourgand is a leading figure in operations research and production systems optimization, with a focus on robotic scheduling and stochastic manufacturing environments. His work addresses critical challenges in automated production lines, particularly surface treatment processes where precise timing and coordination are essential. Gourgand’s major contributions include developing polynomial-time algorithms for multi-robot cyclic scheduling in no-wait robotic cells, solving complex coordination problems that arise when multiple robots must operate without buffer delays. His 2011 paper on scheduling multiple robots in a no-wait re-entrant robotic flowshop (36 citations) and his 2010 work on 2-cyclic scheduling (31 citations) have become foundational references in robotic flowshop optimization. Additionally, his research on metaheuristics for the Stochastic Hoist Scheduling Problem (27 citations) addresses the critical issue of random disturbances in industrial systems, providing robust solutions that maintain production efficiency despite uncertainty. Gourgand’s work bridges theoretical algorithm design with practical industrial applications, offering expert solutions to increase production delivery while accounting for the unpredictable events that plague real-world manufacturing environments.