Papers
7
Total Citations
36
H-Index
3
About
Z Monica is a researcher specializing in lean engineering, industrial robotics, and virtual manufacturing systems. Her work focuses on integrating simulation and modeling techniques to optimize production processes, particularly through the application of Lean Engineering principles and advanced CAD/CAE tools. One of her key contributions is the development of virtual models for production system components, which serve as tools for lean manufacturing—a methodology that has gained significant traction among European companies. Her most cited paper, "Virtual modelling of components of a production system as the tool of lean engineering" (2015, 10 citations), explores how digital twins can enhance efficiency in manufacturing. Monica has also made notable strides in industrial robotics, experimentally determining dynamic parameters of robots (2017, 8 citations) and modeling robotic work cells using agent-based approaches (2016, 3 citations). Her research extends to energy optimization, analyzing how the positioning of robotic cell components impacts energy consumption (2016, 3 citations). With a total of over 36 citations across her published works, Monica’s contributions are valuable for students and researchers interested in the intersection of simulation, automation, and sustainable manufacturing. Her work on PLC-controlled tooling simulation in NX (2016, 3 citations) further demonstrates her commitment to bridging virtual design with real-world industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Experimental determination of dynamic parameters of an industrial robot8 citations · 2017
- 3Modelling of industrial robot in LabView Robotics6 citations · 2017
- 4
- 5Modelling of robotic work cells using agent based-approach3 citations · 2016
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- 7