Papers

2

Total Citations

15

H-Index

2

About

Dalila Tamzalit is a researcher whose work lies at the intersection of software engineering, cyber-physical systems, and human-robot collaboration. Her key research areas include digital twin modeling for industrial production systems, task allocation in collaborative robotics, and the digitalization of complex logistics processes. She has made significant contributions to the development of Multi-Paradigm Modeling (MPM) approaches for Cyber-Physical Production Systems (CPPSs), notably through her early-stage work on digital twins for the mail sorting process at La Poste. Her 2020 paper "Towards a digital twin for cyber-physical production systems" (9 citations) lays foundational groundwork for integrating heterogeneous models into unified digital representations of physical systems. In parallel, her 2019 paper "Heuristics for Robots-Humans Tasks Assignment in a Containers Loading Center" (6 citations) addresses the critical challenge of optimizing human-robot task allocation in logistics environments, proposing heuristic solutions for real-world container loading centers. While her citation counts reflect the emerging nature of these fields, her work bridges theoretical modeling with practical industrial applications, positioning her as a contributor to the digital transformation of production and logistics systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Towards a digital twin for cyber-physical production systems
9 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Nantes Université, Laboratoire des Sciences du Numérique de Nantes

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago