Jan Michael Spoor
Papers
1
Total Citations
3
H-Index
1
About
Jan Michael Spoor is a researcher at the forefront of industrial robotics and manufacturing systems engineering, with a primary focus on robotic assembly line balancing and process time optimization. His most notable contribution addresses a critical gap in production engineering: the influence of feedback control systems on process time variance in car body construction. Spoor demonstrated that external disturbances compensated by robotic controls create unpredictable cycle time fluctuations, and he developed a simulation-based methodology to model these process time distributions. This work, published in 2024, enables manufacturers to proactively manage cycle time violations—a breakthrough for high-precision automotive assembly. With his research already garnering early citations, Spoor’s approach offers a practical framework for enhancing line efficiency and reliability. His work stands out for bridging control theory with production scheduling, providing engineers with tools to anticipate and mitigate real-world variability. As a rising voice in manufacturing research, Spoor is shaping how next-generation robotic systems are designed for robustness and throughput.
Research Focus
Key Achievements
Top Papers
- 1Process time distribution simulation in robotic assembly line balancing3 citations · 2024