THE USAGE OF FUZZY CLUSTERING IN A PRODUCTION SCHEDULING SEQUENCE OF MELTINGS

1 ZUSKÁČ Martin
Co-authors:
1 HOŘÍNOVÁ Lucie 1 DAVID Jiří
Institution:
1 VSB - Technical University of Ostrava, Ostrava, Czech Republic, EU, martin.zuskac@vsb.cz
Conference:
24th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, June 3rd - 5th 2015
Proceedings:
Proceedings 24th International Conference on Metallurgy and Materials
Pages:
2144-2149
ISBN:
978-80-87294-58-1
ISSN:
2694-9296
Published:
12th January 2015
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
399 views / 163 downloads
Abstract

The paper deals with the optimal layout of smelting’s sequences in continuous steel casting device (CCM) using K-Means clustering methods as well as using fuzzy clustering. This optimization is trying to achieve a positive effect to the mold’s durability. During the production of steel by continuous casting are subsequently casting different steel grades. That steel grades differ in their composition and production efficiency and to increase the life of the mold is necessary to determine the appropriate sequence of the casting. The parameters on whose basis the cluster analysis was made were chemical composition, liquids temperature, superheat and other technological parameters.

Keywords: steel mill, production scheduling, control, fuzzy clustering

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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