Adrian Kampa
Papers
11
Total Citations
252
H-Index
7
About
Adrian Kampa is a researcher specializing in industrial robotics, manufacturing systems optimization, and production engineering. His work sits at the intersection of human-robot collaboration, discrete event simulation, and flexible manufacturing systems, making significant contributions to how modern production lines are designed, evaluated, and improved. Kampa's most influential work examines the efficiency dynamics between human operators and industrial robots in manufacturing environments. His 2020 study on manufacturing line efficiency (95 citations) and his widely recognized 2017 paper on discrete event simulation as an improvement tool (69 citations) together establish a compelling framework for quantifying the productivity advantages of robotic automation over human-operated systems, particularly in the context of breakdown susceptibility and process destabilization. These studies have become essential references for engineers and researchers designing automated production lines. Beyond efficiency analysis, Kampa has contributed to cutting force modeling in robotic machining (2014), industrial robot reliability analysis (2018), and, more recently, digital twin modeling for Industry 4.0 synchronization (2023, 24 citations), demonstrating his ability to evolve with emerging technologies. His cumulative citation record reflects a sustained and growing influence across manufacturing engineering, robotics, and simulation-based production planning, making his research portfolio valuable reading for students and practitioners navigating the future of intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Modelling of Cutting Force and Robot Load during Machining25 citations · 2014
- 4
- 5The Review of Reliability Factors Related to Industrial Robo8 citations · 2018
- 6
- 7
- 8
- 9
- 10Simulation model of robotic manufacturing line4 citations · 2016