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Forecasting material quantity using machine learning and times series techniques Cover

Forecasting material quantity using machine learning and times series techniques

Journal of Electrical Engineering
Volume 75 (2024): Issue 3 (June 2024)
By: Hanane Zermane,  Hassina Madjour,  Ahcene Ziar and  Abderrahim Zermane  
Open Access
|Jun 2024

Authors

Hanane Zermane

Laboratory of Automation and Manufacturing, Industrial Engineering Department, Batna 2 University, Batna, Algeria

Hassina Madjour

Laboratory of Automation and Manufacturing, Industrial Engineering Department, Batna 2 University, Batna, Algeria

Ahcene Ziar

Laboratory of Automation and Manufacturing, Industrial Engineering Department, Batna 2 University, Batna, Algeria

Abderrahim Zermane

h.zermane@univ-batna2.dz

Safety Engineering Interest Group, Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Putra Malaysia, Malaysia
DOI: https://doi.org/10.2478/jee-2024-0029 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 237 - 248
Submitted on: Apr 12, 2024
Published on: Jun 8, 2024
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
advanced technologies,
intelligent manufacturing,
smart manufacturing,
forecasting,
machine learning,
time series
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Hanane Zermane, Hassina Madjour, Ahcene Ziar, Abderrahim Zermane, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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