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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-e4ed05d2-a84c-4e9d-89b0-2be2143ce188

Czasopismo

Applied Computer Science

Tytuł artykułu

Simulation of manufacturing and logistics systems for the 21th century

Autorzy Palajová, S.  Figa, Š.  Gregor, M. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN This paper deals with computer simulation of manufacturing systems. It contains the basic simulation theory and principles of a simulation project management. Furthermore the authors introduced the idea of parametric simulation model, followed by special application areas of simulation, e.g. scheduling, emulation, metamodelling. The paper discusses the possibility to utilize a cloud computing technology in simulation. The case example of the application of simulation by the optimization of real production system concludes the working part of paper. The final part summarizes benefits and recommendations.
Słowa kluczowe
EN simulation   emulation   metamodelling   cloud computing  
Wydawca Instytut Technologicznych Systemów Informacyjnych. Politechnika Lubelska
Czasopismo Applied Computer Science
Rocznik 2011
Tom Vol. 7, no 2
Strony 47--60
Opis fizyczny Bibliogr. 11 poz., fig., tab.
Twórcy
autor Palajová, S.
  • University of Zilina, Faculty of Mechanical Engineering, Department of Industrial Engineering; Univezitná 1, 010 26 Žilina, Slovak Republic, silvia.palajova@fstroj.uniza.sk
autor Figa, Š.
  • University of Zilina, Faculty of Mechanical Engineering, Department of Industrial Engineering; Univezitná 1, 010 26 Žilina, Slovak Republic, stefan.figa@fstroj.uniza.sk
autor Gregor, M.
  • University of Zilina, Faculty of Mechanical Engineering, Department of Industrial Engineering; Univezitná 1, 010 26 Žilina, Slovak Republic, milan.gregor@fstroj.uniza.sk
Bibliografia
[1] BARTON R. R.: Metamodels for simulation input-output relations. In 24th Winter Simulation Conference: proceedings. New York: IEEE, 1992. ISBN 0-7803-0798-4, p. 289-299
[2] FIGA Š., GREGOR M.: JSS using simulation-based and evolutionary methods. In Digital factory management methods and techniques in engineering production. Bielsko-Biała: Wydawnictwo Akademii Techniczno-Humanistycznej, 2011. ISBN 978-83-62292-57-8. p. 19-24
[3] GREGOR M.: Metamodel draft for modeling and simulation of continuous manufacturing systems. 2005
[4] GREGOR M., HROMADA J., MATUSZEK J.: Digital factory supported by simulation and metamodelling. Inżynieria produkcji, 2008
[5] GREGOR M., MEDVECKÝ Š., MIČIETA B.: ZIMS - Zilina Intelligent Manufacturing System. Study, University of Žilina, 2010, p. 35
[6] GREGOR M., ŠTEFÁNIK A., HROMADA J.: Lean manufacturing systems optimization supported by metamodelling. 2008
[7] HROMADA J.: Simulation of manufacturing systems. Thesis, Žilina, 2004
[8] PALAJOVÁ S., FIGA Š.: Advanced approach in simulation of production and logistics processes. In Digital Factory 2011. ISBN 978-80-970440-1-5
[9] PERSSON A., GRIMM H., NG A.: Simulation-based optimization using local search and neural network metamodels. [online] [cit.2010-06-10]. On the Internet: http://www.his.se/
[10] PINEDO, M. 2002. Scheduling: Theory, Algorithms, and Systems. In 2nd ed. Englewood Cliffs. Prentice-Hall, NJ, 2002
[11] ŠKORÍK P., ŠTEFÁNIK A.: Emulation environment – reliable approach for designing and testing of management principles in production based on simulation, optimization and metamodelling. In EnvEnt 2010
Kolekcja BazTech
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