David Damand
Papers
2
Total Citations
16
H-Index
2
About
David Damand is a leading researcher in production and operations management, with a primary focus on the optimization of robotic assembly lines. His work centers on the Robotic Assembly Line Balancing Problem (RALBP), a critical challenge in modern manufacturing that involves the joint assignment of tasks and robots to workstations to maximize efficiency. Damand has made significant contributions by developing sophisticated mathematical models and metaheuristic algorithms to solve complex variants of this problem. Notably, his 2022 study on a "split-based approach" for sequence-dependent RALBP (cited 13 times) introduced novel methods for tackling this NP-hard optimization. More recently, his 2025 work pioneers a bi-objective framework that minimizes both energy consumption and cycle time—two inherently contradictory goals—achieving this through a pseudo-polynomial case analysis and a reduced search space metaheuristic. This research is particularly impactful as it addresses the growing industrial demand for sustainable and efficient production systems. Damand’s work is essential reading for students and researchers in industrial engineering, offering practical solutions that balance productivity with environmental responsibility.
Research Focus
Key Achievements
Top Papers
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