Michela Dalle Mura

University of Pisa

Papers

4

Total Citations

259

H-Index

4

About

Michela Dalle Mura is a leading researcher in the field of manufacturing systems engineering, with a primary focus on the human-centric design of assembly lines. Her work uniquely integrates ergonomics, automation, and optimization, addressing the critical challenge of balancing productivity with worker well-being. Dalle Mura’s most significant contribution is her pioneering use of genetic algorithms to design assembly lines that incorporate both human operators and collaborative robots (cobots). Her seminal 2019 paper, "Designing assembly lines with humans and collaborative robots: A genetic approach," has garnered 154 citations, establishing a foundational framework for human-robot collaboration in manufacturing. She extended this work to tackle job rotation and ergonomic risk mitigation, as seen in her 2021 paper (61 citations), which optimizes task allocation to reduce physical strain. Further demonstrating her commitment to worker health, she has modeled complex ergonomic factors like noise exposure and energy expenditure (35 citations). Dalle Mura also explores the practical application of Industry 4.0 technologies, proposing augmented reality solutions for precise assembly tasks, such as car panel fitting. Her research is essential for anyone interested in the future of smart, sustainable, and worker-friendly manufacturing.

Research Focus

Key Achievements

4
H-Index
4
Papers
259
Total Citations
65
Avg Citations/Paper
🏆 Most Cited Paper
Designing assembly lines with humans and collaborative robots: A genetic approach
154 citations · 2019
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Pisa

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago