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SIMULATION MODEL OF METALLURGICAL PRODUCTION MANAGEMENT

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SIMULATION MODEL OF METALLURGICAL PRODUCTION MANAGEMENT
METALURGIJA 52 (2013) 3, 429-431 429
P. .NAPKA, M. MIKU.OVA, K. JANOVSKA, A. SAMOLEJOVA
SIMULATION MODEL OF METALLURGICAL PRODUCTION
MANAGEMENT
Received . Prispjelo: 2012-07-18
Accepted . Prihva.eno: 2012-11-12
Professional paper . Stru.ni rad
ISSN 0543-5846
METABK 52(3) 429-431 (2013)
UDC . UDK 669.1: 658.5: 004.94 =111
P. .napka, M. Miku.ova, Faculty of Economics, K.Janovska, A. Samolejova
Faculty of Metallurgy and Materials Engineering, V.B . Technical
University of Ostrava, Ostrava, Czech Republic
This article is focused to the problems of the metallurgical production process intensifi cation. The aim is the explaining of simulation model which presents metallurgical production management system adequated to new requirements.
The knowledge of a dynamic behavior and features of metallurgical production system and its management are needed to this model creation. Characteristics which determine the dynamics of metallurgical production process are characterized. Simulation model is structured as functional blocks and their linkages with regard to organizational and temporal hierarchy of their actions. The creation of presented simulation model is based on theoretical fi ndings of regulation, hierarchical systems and optimization.
Key words: metallurgical production, model, simulation, functional block
INTRODUCTION
Also in metallurgical production there is growing pressure to increase labor productivity, time and performance utilization of equipment, staff economy, relative savings of physical work, determination of optimum parameters of workplaces in the connection to economic decisionsf criteria (cost optimization, expenses, profi t etc.). This article presents a model that can contribute to meeting these increasing demands.
Model considerations presented in this article relate to metallurgical production process with parallel linkage of workplaces. This means that it is possible to realize metallurgical production at two or more


References: [1] J. Bank, B. L. Nelson, Discrete-event system simulation, Prentice Hall, (2010). [2] P. .napka, A. .opikova, Modelling of the Intensity Control Level, WASET, 77 (2011) 2448-2452 of the Czech Republic, WASET, 77 (2011) 809-823.
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