L’Observatoire FNEGE de la recherche en sciences de gestion et du management fournit un ensemble d’informations qui permettent à chacun de prendre pleinement conscience de l’ampleur tant quantitative que qualitative des activités de recherche menées en France, et de leurs contributions importantes tant pour la communauté académique des chercheurs et des enseignants-chercheurs, étudiants et doctorants, que pour les managers agissant dans les organisations du tissu économique et social et l’ensemble de la société plus généralement. Dans cette vidéo, nous nous concentrerons sur l’impact de la recherche au-delà de la communauté académique, à savoir sur les praticiens, les territoires et la société.

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Robotic warehouses have transformed logistics, prioritizing speed and efficiency. However, traditional static priority systems often leave low-priority customers facing excessive delays, raising concerns about fairness. This research, based on Invia, a robotic warehouse company, proposes a dynamic priority allocation model to balance efficiency and fairness. By adjusting order priorities over time, this approach ensures that both high-priority and long-waiting low-priority orders receive timely fulfillment. Through stochastic modeling and simulations, we demonstrate that dynamic prioritization reduces delays compared to static and first-come, first-served (FCFS) models. Case studies in e-commerce and healthcare logistics illustrate the broader impact of fairness in automation. As industries increasingly rely on AI-driven decision-making, the balance between efficiency and equity becomes critical. This research challenges the assumption that robotic warehouses should optimize for speed alone and advocates for a future where fairness plays a central role in automated commerce.
YUAN Zhe - EMLV |
- Recherche
- Logistique et Supply Chain, Transformation Digitale

