Exploring the application of machine learning to the assembly line feeding problem
Year of publication: |
2021
|
---|---|
Authors: | Moretti, Emilio ; Tappia, Elena ; Limère, Veronique ; Melacini, Marco |
Published in: |
Operations management research : OMR ; advancing practice through theory. - New York, NY : Springer, ISSN 1936-9743, ZDB-ID 2424183-0. - Vol. 14.2021, 3/4, p. 403-419
|
Subject: | Assembly system | Part feeding | Factory logistics | Optimization | Machine learning | End-to-end learning | Künstliche Intelligenz | Artificial intelligence | Fließfertigung | Assembly-line production | Lernprozess | Learning process | Algorithmus | Algorithm |
Description of contents: | Description [doi.org] |
-
Zangaro, Francesco, (2021)
-
The sort-assemble-blend routing problem and its application to semiconductors
Mason, A. Nicholas, (2024)
-
An evaluation of the bihyperbolic function in the optimization of the backpropagation algorithm
Miguez, Geraldo, (2014)
- More ...
-
Prataviera, Lorenzo Bruno, (2022)
-
Postponement Strategies for Global Downstream Supply Chains : A Conceptual Framework
Prataviera, Lorenzo Bruno, (2020)
-
Scheduling mobile robots in part feeding systems
Morett, Emilio, (2021)
- More ...