Orateurs
Description
ETUDIANT 14: Lina Laouzai
The rapid growth of electric vehicles (EVs) has led to an increasing demand for efficient and sustainable recycling of lithium-ion batteries. Disassembly is a critical step in the battery recycling process, influencing both economic viability and environmental impact. Recent research has explored various strategies for optimizing disassembly, including human-robot collaboration, task sequencing, and dynamic allocation using AI techniques such as Q-learning and particle swarm optimization. However, the complexity of disassembly line balancing, especially when considering constraints like safety, ergonomics, and component variability, calls for more advanced optimization methods.
Quantum-inspired algorithms and quantum annealing offer promising avenues for solving such combinatorial problems more efficiently than classical approaches
| Master | Autre ou non applicable |
|---|---|
| Laboratoire d'accueil | DISP |
| Composante ou Département Composante | Autre |
