A supervised machine learning approach for the optimisation of the assembly line feeding mode selection
Year of publication: |
2021
|
---|---|
Authors: | Zangaro, Francesco ; Minner, Stefan ; Battini, Daria |
Subject: | classification tree | Line Feeding Problem | Machine Learning | optimisation | Part Feeding | Künstliche Intelligenz | Artificial intelligence | Fließfertigung | Assembly-line production | Algorithmus | Algorithm | Scheduling-Verfahren | Scheduling problem | Mathematische Optimierung | Mathematical programming |
-
Clamping-sequence optimisation based on heuristic algorithm for sheet-metal components
Jiao, Zhiyuan, (2018)
-
A MCVRP-based model for PCB assembly optimisation on the beam-type placement machine
Guo, Shujuan, (2019)
-
Exploring the application of machine learning to the assembly line feeding problem
Moretti, Emilio, (2021)
- More ...
-
The multi-manned joint assembly line balancing and feeding problem
Zangaro, Francesco, (2023)
-
Innovations in production economics : editorial
Minner, Stefan, (2017)
-
Special issue: innovations in production economics
Minner, Stefan, (2017)
- More ...