Akrem Ben Haj Mouldi
Papers
1
Total Citations
3
H-Index
1
About
Akrem Ben Haj Mouldi is a rising researcher in industrial engineering and operations research, with a focused expertise in production scheduling, logistics optimization, and the integration of autonomous mobile robots (AMRs) in manufacturing systems. His most cited work, "Integrated Genetic Algorithm with Dispatching Rules to solve the Flexible Job Shop Scheduling Problem under Multi-AMR Transportation Constraints" (2024), addresses a critical gap in the literature by incorporating transportation tasks—often neglected—into the classic Flexible Job Shop Scheduling Problem (FJSSP). By combining genetic algorithms with dispatching rules, he proposes a novel solution that optimizes both machine scheduling and multi-AMR coordination, directly tackling real-world factory floor challenges. Though early in his career, his paper has already garnered 3 citations, signaling growing recognition for his practical, industry-relevant approach. His contributions are particularly valuable for smart manufacturing and Industry 4.0 contexts, where efficient material handling and scheduling are paramount. As a researcher committed to bridging theoretical optimization with tangible production constraints, Ben Haj Mouldi is establishing himself as a promising voice in the evolution of intelligent manufacturing systems.
Research Focus
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Top Papers
- 1