Kazuhiro Ookoudo
Papers
1
Total Citations
43
H-Index
1
About
Kazuhiro Ookoudo is a pioneering researcher in advanced manufacturing systems, with a primary focus on reconfigurable manufacturing and intelligent automation. His most influential work, "Layout optimization of manufacturing cells and allocation optimization of transport robots in reconfigurable manufacturing systems using particle swarm optimization" (2004, 43 citations), introduced a groundbreaking 3D graphics simulation environment for analyzing and evaluating reconfigurable manufacturing systems. This work integrates transport robots, input/output stations, and movable manufacturing cells, employing particle swarm optimization to simultaneously optimize cell layout and robot allocation—a dual-problem approach that significantly enhanced system flexibility and efficiency. Ookoudo's contributions are foundational to the field of reconfigurable manufacturing, enabling dynamic adaptation to production changes without physical reconfiguration. His research bridges computational intelligence and industrial engineering, offering practical tools for designing agile factories. With sustained citation impact, his work continues to inform studies on swarm intelligence applications in manufacturing, robot coordination, and factory layout optimization. Ookoudo's achievements exemplify how simulation-based optimization can transform traditional manufacturing into responsive, intelligent systems—a critical advancement for modern Industry 4.0 environments.
Research Focus
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Top Papers
- 1