Smart City 360°. The second EAI International Summit, Smart City 360°, Bratislava, Slovakia, November 22-24, 2016. Revised Selected Papers

Research Article

Risk analysis causing downtimes in production process of hot rolling mill

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  • @INPROCEEDINGS{10.4108/eai.14-2-2017.152161,
        author={Marcela Malindzakova and Dagmar Caganova and Andrea Rosova and Dusan Malindzak},
        title={Risk analysis causing downtimes in production process of hot rolling mill},
        proceedings={Smart City 360°. The second EAI International Summit, Smart City 360°, Bratislava, Slovakia, November 22-24, 2016. Revised Selected Papers},
        publisher={EAI},
        proceedings_a={SMARTCITY360},
        year={2017},
        month={2},
        keywords={hot rolling roughing mill finishing mill Pareto analysis C-E diagnosis},
        doi={10.4108/eai.14-2-2017.152161}
    }
    
  • Marcela Malindzakova
    Dagmar Caganova
    Andrea Rosova
    Dusan Malindzak
    Year: 2017
    Risk analysis causing downtimes in production process of hot rolling mill
    SMARTCITY360
    EAI
    DOI: 10.4108/eai.14-2-2017.152161
Marcela Malindzakova1,*, Dagmar Caganova, Andrea Rosova, Dusan Malindzak
  • 1: Technical university of Košice, Faculty of Mining, Ecology, Process Control and Geotechnologies, Institute of Logistics, Park Komenskeho 14, Kosice
*Contact email: marcela.malindzakova@tuke.sk

Abstract

This article is focused on the application of quality management tools in the production process of hot-rolled steel products, namely metal sheets and strips. The actual production of hot rolled products involves a set of main, support and management processes and network of interconnected relationships. The production process of hot rolled sheets and strips is characterized by strictly one-way direction of the production from the process beginning to end. It is a relatively simple, linear process based on precise continuity, time sequence and capacity settings. On the other hand, considering the technology involved, it is a system heavily dependent on stability of the important process parameters, such as temperature, etc.