Mario T. Tabucanon

Papers

Total Citations

H-Index

About

Mario T. Tabucanon is a distinguished researcher in industrial engineering and manufacturing systems, with a primary focus on robotics, optimization, and assembly planning. His work centers on solving complex problems in automated manufacturing, particularly in printed circuit board (PCB) assembly and robotic path planning. Tabucanon made significant contributions by developing novel approaches to optimize feeder assignment and assembly sequences in PCB assembly, introducing the Dynamic Pick-and-Place (DPP) model to minimize both magazine and board travel times. His extended dynamic point specification approach further advanced the field by decomposing complex assembly problems into more tractable subproblems, making them easier to solve. His most cited work, "On the tool-path optimization of a milling robot" (2002), has garnered 38 citations, demonstrating the lasting impact of his research on robotic efficiency. Tabucanon's methodological innovations have influenced subsequent research in manufacturing optimization, and his work on multi-criteria decision-making in assembly problems remains relevant for engineers seeking to improve production line performance. His research continues to inform the design of more efficient automated manufacturing systems.