Lean Manufacturing Systems Optimisation Supported by Metamodelling

  • Milan Gregor
  • Andrej Štefánik
  • Juraj Hromada
Part of the IFIP – The International Federation for Information Processing book series (IFIPAICT, volume 257)

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.


Input Factor Reduce Memory Requirement Reactive Vector Simulation Model Building Metamodel Development 
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.


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Copyright information

© International Federation for Information Processing 2008

Authors and Affiliations

  • Milan Gregor
    • 1
  • Andrej Štefánik
    • 1
  • Juraj Hromada
    • 2
  1. 1.Department of Industrial EngineeringUniversity of ŽilinaŽilinaSlovak Republic
  2. 2.SLCP ConsultingŽilinaSlovak Republic

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