Papers
2
Total Citations
43
H-Index
2
About
Maroua Nouiri is a leading researcher in sustainable manufacturing and intelligent production scheduling, whose work bridges the gap between digital innovation and real-world industrial efficiency. Her primary research areas include Digital Twin technology, energy-efficient manufacturing, and advanced optimization of Flexible Job Shop Scheduling Problems (FJSSP). Nouiri’s most impactful contribution is her pioneering data-driven approach to generating energy consumption behavior models for Digital Twins, published in 2023 and already cited 40 times—a testament to its rapid influence on sustainable manufacturing practices. This work enables factories to simulate and reduce energy use without disrupting production. She has also advanced the notoriously complex FJSSP by integrating Genetic Algorithms with dispatching rules, uniquely accounting for multi-AGV transportation constraints—a critical factor often ignored in prior studies. Her 2024 paper on this topic, though recent, addresses a vital gap in logistics-aware scheduling. Nouiri’s research is notable for its practical orientation, directly supporting Industry 4.0 goals of smart, green, and adaptive manufacturing. For students and researchers, her work offers a compelling model of how computational intelligence can drive both sustainability and operational excellence.
Research Focus
Key Achievements
Top Papers
- 1
- 2