Papers
3
Total Citations
19
H-Index
3
About
Nasser Mebarki’s research lies at the intersection of cyber-physical systems, industrial robotics, and intelligent automation, with a strong focus on real-world logistics and manufacturing challenges. His work is deeply rooted in the digital transformation of production environments, particularly through the development of Digital Twins (DT) for Cyber-Physical Production Systems (CPPSs). In his highly cited 2020 paper, he introduced a Multi-Paradigm Modeling (MPM) approach as an early step toward creating a digital twin for the mail sorting process at La Poste, a major French postal operator. This foundational work has garnered 9 citations and highlights his ability to bridge theoretical modeling with industrial application. Mebarki also addresses critical operational challenges in robotics and human-robot collaboration. His 2019 study on heuristics for task assignment in container loading centers (6 citations) and his 2021 work on dynamic scheduling of picking robots with limited buffer and rejection (4 citations) tackle pressing issues in logistics automation. These contributions, grounded in an industrial case study from a major mail delivery provider, demonstrate his commitment to developing practical, scalable solutions for dynamic, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Towards a digital twin for cyber-physical production systems9 citations · 2020
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