Jaouad Boukachour
Papers
1
Total Citations
7
H-Index
1
About
Jaouad Boukachour is a leading figure in operations research and industrial engineering, whose work focuses on optimizing complex production and logistics systems. His research addresses critical challenges in scheduling, transportation, and supply chain management, with a particular emphasis on robotic material handling and flow shop environments. Boukachour’s major contribution lies in modeling and solving generalized flow-shop problems that integrate transportation constraints, such as his seminal 2012 paper on the "Flow Shop Scheduling Problem with Transportation Times, Two-Robots and Inputs/Outputs with Limited Capacity," which has garnered 7 citations. This work uniquely considers both job transportation times and empty robot movement, aiming to minimize the Makespan—a key performance metric in manufacturing. His research has practical implications for automated factories and warehouse logistics, where efficient robot coordination is critical. Boukachour’s impact extends through his ability to bridge theoretical optimization with real-world industrial applications, making his work valuable for students and researchers in production planning and robotics. His contributions continue to influence the design of smarter, more efficient manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1