Papers
3
Total Citations
19
H-Index
3
About
Youssef Lahrichi is a leading researcher in the optimization of manufacturing systems, with a primary focus on the Robotic Assembly Line Balancing Problem (RALBP). His work addresses the critical challenge of assigning both assembly tasks and robots to workstations to maximize efficiency. Lahrichi’s major contributions include developing innovative solution methodologies for complex variants of RALBP. Notably, his 2022 paper on a split-based approach for the sequence-dependent robotic assembly line balancing problem, which has garnered 13 citations, provides a powerful framework for tackling this joint optimization problem. He has also pioneered the bi-objective minimization of energy consumption and cycle time, a crucial advancement for sustainable manufacturing, as detailed in his 2025 work. By proposing pseudo-polynomial algorithms and reduced search space metaheuristics, Lahrichi enables the practical balancing of contradictory goals—choosing the fastest robots versus the most energy-efficient ones. His 2020 research on a min-max path approach for lines with sequence-dependent setup times further demonstrates his depth in handling real-world manufacturing complexities. With a growing citation impact, Lahrichi is establishing himself as a key figure in production and operations research, driving both theoretical advances and practical solutions for modern assembly systems.
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