Nestability: A deep learning oracle for nesting scrap prediction in manufacturing industry

Author:

Abdou KirolosORCID,Schaaf NinaORCID,Struckmeier Frederick,Braun Jannik,Bhat Keelanje Srinivas PavanORCID,Ottnad Jens,Huber Marco F.

Funder

Bundesministerium für Wirtschaft und Klimaschutz

Publisher

Elsevier BV

Reference35 articles.

1. Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks;Abdou;J. Intell. Manuf.,2023

2. Iron and Steel Technology Roadmap: Towards More Sustainable Steelmaking;Agency,2020

3. A tutorial in irregular shape packing problems;Bennell;J. Oper. Res. Soc.,2009

4. Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques;Cheng;Autom. Constr.,2018

5. Deep learning computer vision for the separation of cast- and wrought-aluminum scrap;Díaz-Romero;Resour. Conserv. Recycl.,2021

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