Bilel Marzouki
Papers
2
Total Citations
8
H-Index
2
About
Bilel Marzouki is a rising researcher in industrial engineering and operations research, with a focused expertise in combinatorial optimization and production scheduling. His primary research area centers on the Distributed Flexible Job Shop Scheduling Problem (DFJSP), a critical challenge in modern manufacturing systems. Marzouki’s major contribution lies in introducing and modeling a novel variant of this problem that incorporates transportation times between machines—a realistic constraint often overlooked in classical formulations. His 2022 paper, “Improved chemical reaction optimization for distributed flexible job shop problem with transportation times,” has garnered 6 citations, demonstrating its early impact in the field. In this work, he developed a metaheuristic algorithm based on chemical reaction optimization to efficiently solve the DFJSP with transportation times (DFJSPT). His subsequent 2025 paper further refines the modeling and solution approaches for this problem. Marzouki’s work bridges the gap between theoretical scheduling models and practical manufacturing constraints, offering valuable tools for optimizing distributed production networks. As a young scholar, his contributions are paving the way for more realistic and efficient scheduling solutions in Industry 4.0 environments.
Research Focus
Key Achievements
Top Papers
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