Papers
3
Total Citations
62
H-Index
3
About
Jacques Carlier is a distinguished researcher in operations research and combinatorial optimization, with a primary focus on scheduling and production systems. His most influential work centers on the robotic cell problem, a critical challenge in automated manufacturing that seeks to optimize the sequence of operations performed by a single robot in a cell. Carlier’s major contributions include developing an optimization-based heuristic for this problem, which has become a foundational reference for both practitioners and academics, as evidenced by its 43 citations. He further advanced the field by proposing exact methods—detailed in his 2010 and 2011 papers—that provide rigorous solutions for robotic cell scheduling, offering a benchmark for evaluating heuristic performance. These works have collectively shaped the study of robotic systems, bridging theoretical optimization with practical industrial applications. Carlier’s research is notable for its clarity and impact, making him a key figure in the operations research community. His methods continue to inspire new approaches in automation and logistics, underscoring his lasting influence on efficient manufacturing processes.
Research Focus
Key Achievements
Top Papers
- 1An optimization-based heuristic for the robotic cell problem43 citations · 2009
- 2Exact Method for Robotic Cell Problem10 citations · 2010
- 3Exact methods for the robotic cell problem9 citations · 2011