Circularity-based hybrid learning framework for disassembly sequence planning in early-stage design
In the early-stage design phase, disassembly sequence planning must often rely on an incomplete engineering bill of materials rather than on detailed CAD geometry. This paper proposes a circularity-based hybrid learning framework that combines a genetic algorithm, Q-learning, and a graph neural network to generate and...
Bertrand Marconnet, Anicet Barrios, Frédéric Demoly et al.
· CIRP journal of manufacturin... · 0 citations