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Usage of clustering methods for sequence plan optimization in steel production

P. Švec ; Faculty of Metallurgy and Material Engineering, VŠB – Technical University of Ostrava, Czech Republic
L. Frischerová ; Faculty of Metallurgy and Material Engineering, VŠB – Technical University of Ostrava, Czech Republic
J. David ; Faculty of Metallurgy and Material Engineering, VŠB – Technical University of Ostrava, Czech Republic

Puni tekst: engleski, pdf (142 KB) str. 485-488 preuzimanja: 366* citiraj
APA 6th Edition
Švec, P., Frischerová, L. i David, J. (2016). Usage of clustering methods for sequence plan optimization in steel production. Metalurgija, 55 (3), 485-488. Preuzeto s https://hrcak.srce.hr/153691
MLA 8th Edition
Švec, P., et al. "Usage of clustering methods for sequence plan optimization in steel production." Metalurgija, vol. 55, br. 3, 2016, str. 485-488. https://hrcak.srce.hr/153691. Citirano 07.12.2019.
Chicago 17th Edition
Švec, P., L. Frischerová i J. David. "Usage of clustering methods for sequence plan optimization in steel production." Metalurgija 55, br. 3 (2016): 485-488. https://hrcak.srce.hr/153691
Harvard
Švec, P., Frischerová, L., i David, J. (2016). 'Usage of clustering methods for sequence plan optimization in steel production', Metalurgija, 55(3), str. 485-488. Preuzeto s: https://hrcak.srce.hr/153691 (Datum pristupa: 07.12.2019.)
Vancouver
Švec P, Frischerová L, David J. Usage of clustering methods for sequence plan optimization in steel production. Metalurgija [Internet]. 2016 [pristupljeno 07.12.2019.];55(3):485-488. Dostupno na: https://hrcak.srce.hr/153691
IEEE
P. Švec, L. Frischerová i J. David, "Usage of clustering methods for sequence plan optimization in steel production", Metalurgija, vol.55, br. 3, str. 485-488, 2016. [Online]. Dostupno na: https://hrcak.srce.hr/153691. [Citirano: 07.12.2019.]

Sažetak
The paper deals with production scheduling of heat sequences while are steel types casted on continuous casting device. For production scheduling are used k-means clustering and fuzzy clustering methods. The parameters for cluster analysis are chemical composition liquids temperature and another values. From these values were selected parameters, which has been processed by clustering methods. Proposed clustering algorithm for sorting steel grades on continuous steel casting device is aimed to cast as many single graded smelts as possible, respectively more steel grades, which has similarities in chemical composition and liquid temperature. These resulting clusters are used when designing algorithm for smelting sequence scheduling. The goal of the production scheduling is to make schedule of production tasks, so how to achieve the agreement between order requirements and capabilities of production in given time scale.

Ključne riječi
production; steel; scheduling; optimization; steel grades; clustering

Hrčak ID: 153691

URI
https://hrcak.srce.hr/153691

Posjeta: 462 *