Laurent Deroussi
Centre National de la Recherche Scientifique, Université Clermont Auvergne
Papers
2
Total Citations
16
H-Index
2
About
Laurent Deroussi is a leading researcher in operations research and production systems optimization, with a primary focus on assembly line balancing and robotic manufacturing. His work centers on the Robotic Assembly Line Balancing Problem (RALBP), a complex joint optimization challenge that involves assigning both assembly operations and robots to workstations along a straight production line. Deroussi has made significant contributions by developing innovative solution approaches for RALBP variants, particularly those incorporating sequence-dependent setup times—a realistic but computationally demanding constraint. His most cited work (2022, 13 citations) introduces a split-based approach to investigate two RALBP variants, addressing the critical RALBP-2 problem where cycle time minimization is the objective. In related research (2020, 3 citations), he proposed a min-max path approach to balance robotic assembly lines with sequence-dependent setups, demonstrating methodological rigor in tackling real-world manufacturing complexities. Deroussi’s research has direct implications for improving efficiency in automated production environments, offering practical solutions that reduce cycle times and optimize resource allocation. His work is particularly valuable for researchers and practitioners in industrial engineering, manufacturing systems, and combinatorial optimization, providing both theoretical foundations and algorithmic tools for modern assembly line design.
Research Focus
Key Achievements
Top Papers
- 1
- 2