Michael Pinedo
Papers
9
Total Citations
396
H-Index
8
About
Michael Pinedo is a leading authority in scheduling theory and manufacturing systems optimization, with a career spanning over three decades. His research focuses on deterministic scheduling, robotic cell optimization, and the emerging field of human-robot collaboration. Pinedo’s seminal work, “Current trends in deterministic scheduling” (1997, 219 citations), remains a cornerstone reference, establishing foundational principles for scheduling in complex manufacturing environments. He has made transformative contributions to semiconductor manufacturing, particularly through his studies on throughput optimization in dual-gripper interval robotic cells (2009, 53 citations) and robotic cells with parallel machines and multiple robots (2008, 41 citations). These works address critical challenges in wafer fabrication processes, such as low-pressure chemical vapor deposition and etching, where strict timing constraints are paramount. Pinedo also pioneered the first analytic study of robotic cells with stochastic processing times (2010, 20 citations), bridging theory and real-world variability. His recent work on human-robot collaborative assembly line balancing (2024, 9 citations) reflects his forward-looking approach, integrating combinatorial Benders decomposition to enhance safety and efficiency. With over 370 total citations across his most-cited papers, Pinedo’s research has profoundly influenced both academic theory and industrial practice, making him a key figure in modern manufacturing optimization.
Research Focus
Key Achievements
Top Papers
- 1Current trends in deterministic scheduling219 citations · 1997
- 2Throughput optimization in dual-gripper interval robotic cells53 citations · 2009
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- 5Robotic cells with stochastic processing times20 citations · 2010
- 6Throughput Optimization in Circular Dual‐Gripper Robotic Cells14 citations · 2017
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