This paper presents metamodelling method as a practical approach to the statistical summarisation of simulation results. Metamodels enable to reduce memory requirements by experiments and, on the other side, they can be use as fast support tools for the manufacturing systems control. The chosen metamodelling approach was applied in various projects. Given example shows practically how can be metamodel developed and verified using simple Conwip production systems.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Chaturvedi, M, Golhar, D. Y.: Simulation modelling and analysis of a just in time production system. Production Planning nad Control, 1992,Vol. 3, No. 1, pp. 81–92.
Gregor, M, Košturiak, J, Hromada, J, Balcerýík, V. How the Simulation Helps to Improve Manufacturing Systems. In proceedings of the Second World Congress on Intelligent Manufacturing Processes and Systems. Budapest 1997. pp. 110–115.
Štefánik, A, Gregor, M.: Quick and Appropriate Changes with Support of Modelling and Computer Simulation. In: Inžynieria Produkcji 2005, ATH BielskoBiala 2005, Poland, ISSN 1644–0315, pp. 153–158.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 International Federation for Information Processing
About this paper
Cite this paper
Gregor, M., Štefánik, A., Hromada, J. (2008). Lean Manufacturing Systems Optimisation Supported by Metamodelling. In: Koch, T. (eds) Lean Business Systems and Beyond. IFIP – The International Federation for Information Processing, vol 257. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77249-3_18
Download citation
DOI: https://doi.org/10.1007/978-0-387-77249-3_18
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-77248-6
Online ISBN: 978-0-387-77249-3
eBook Packages: Computer ScienceComputer Science (R0)