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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F18%3A10241555" target="_blank" >RIV/61989100:27360/18:10241555 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    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

  • e-ISSN

    neuvedeno

  • Number of pages

    8

  • Pages from-to

    1961-1967

  • Publisher name

    Tanger

  • Place of publication

    Ostrava

  • Event location

    Brno

  • Event date

    May 23, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article