Optimization of the Operative Planning of Melts for Continuous Casting of Steel Using of Genetic Algorithms

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Optimization of the Operative Planning of Melts for Continuous Casting of Steel Using of Genetic Algorithms

Popis výsledku v původním jazyce

The contribution deals with model of operative scheduling of production on the facility for continuous casting of steels. Starting point for the increase of efficiency of complicated decision-making processes is the transfer to the decision-making based on the exact, scientific knowledge. Increase the exactivity means utilization of modeling and modern methods for problems solving. Modeling is basic methodological resource for solving of complicated problems, application of modern methods for realization of particular phases of model is then basic condition of the successful realization. Production scheduling at continuous casting of steel belongs to group of above mentioned problems. High emphasis is put on the efficiency of the processes with the compliance of the quality of products. It is necessary to search new innovative approaches with utilization of methods of artificial intelligence and knowledge management in this area, too. Model is compatible with INDUSTRY 4.0 concept when it utilizes genetic algorithm for establishing of the smelting plan. Proposed model is based on the model of crystallizer utilization and fatigue which use diagnostics. Utilization of the proposed model consists in the support of smelting planning in the sequences respectively campaigns. Proposed solution allows to find suitable combination of cumulative counts of smelts in the particular clusters after assignment of purposeful function, limiting conditions and residual life of crystallizer in the form of residual conicity change. Proposed model which is realized in MS Excel proposes to the user possible and effective variants of the scheduling of production in the next period according to the specified limited conditions.

Název v anglickém jazyce

Optimization of the Operative Planning of Melts for Continuous Casting of Steel Using of Genetic Algorithms

Popis výsledku anglicky

The contribution deals with model of operative scheduling of production on the facility for continuous casting of steels. Starting point for the increase of efficiency of complicated decision-making processes is the transfer to the decision-making based on the exact, scientific knowledge. Increase the exactivity means utilization of modeling and modern methods for problems solving. Modeling is basic methodological resource for solving of complicated problems, application of modern methods for realization of particular phases of model is then basic condition of the successful realization. Production scheduling at continuous casting of steel belongs to group of above mentioned problems. High emphasis is put on the efficiency of the processes with the compliance of the quality of products. It is necessary to search new innovative approaches with utilization of methods of artificial intelligence and knowledge management in this area, too. Model is compatible with INDUSTRY 4.0 concept when it utilizes genetic algorithm for establishing of the smelting plan. Proposed model is based on the model of crystallizer utilization and fatigue which use diagnostics. Utilization of the proposed model consists in the support of smelting planning in the sequences respectively campaigns. Proposed solution allows to find suitable combination of cumulative counts of smelts in the particular clusters after assignment of purposeful function, limiting conditions and residual life of crystallizer in the form of residual conicity change. Proposed model which is realized in MS Excel proposes to the user possible and effective variants of the scheduling of production in the next period according to the specified limited conditions.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

METAL 2018 : conference proceedings : reviewed version : 27th International Conference on Metallurgy and Materials : May 23rd-25th 2018, Hotel Voronez I, Brno, Czech Republic, EU

ISBN

978-80-87294-84-0

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

1961-1967

Název nakladatele

Tanger

Místo vydání

Ostrava

Místo konání akce

Brno

Datum konání akce

23. 5. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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