Thiago Cantos Lopes
Papers
4
Total Citations
233
H-Index
4
About
Thiago Cantos Lopes is a leading researcher in industrial engineering, specializing in the optimization of robotic assembly and manufacturing systems. His work focuses on the critical challenges of balancing and designing robotic production lines, where he develops mathematical models and practical solutions to improve efficiency and productivity. Lopes’s most influential contributions include his 2017 study on balancing a robotic spot welding line (87 citations) and his 2016 work on the traveling worker assembly line rebalancing problem (81 citations), both of which provide real-world case studies and reduction techniques. His 2018 paper on the Robotic Assembly Line Design (RALD) problem (59 citations) further extends these models with practical constraints, offering valuable insights for industry. Most recently, in 2024, Lopes addressed the balancing of mixed-model robotic lines, tackling computational challenges and performance estimation. With over 230 total citations, his research bridges theory and practice, making him a key figure in advancing automated manufacturing. His work is essential reading for students and engineers seeking to optimize robotic production systems.
Research Focus
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