@inproceedings{472,
  abstract     = {{In the context of Industrie 4.0 respectively direct digital manufacturing, seamless process chains are an important factor. The objective is to shorten the time between quoting for individually designed products and their production and delivery. Therefore, reliable automated and fast evaluation procedures are needed to ensure the quality of the individually designed products in terms of product safety and reliability. This paper aims 
to demonstrate how a metamodel, generated on simulated data, adapts to the type of product and delivers the required quality and evaluation procedure. The metamodel guarantees the requested characteristics of the final product without the consultation of human expert knowledge. As proof of concept, a simple, well-documented  task from the field of construction has been chosen. The estimation from of the metamodel will meet all safety  requirements, is based on the individual input variables and is confirmed without expert interaction. Fast, reliable prediction models deriving from complex simulation models are indispensable conditions for direct digital manufacturing. Using metamodels in automation contexts will be a foundation of manufacturing in future.}},
  author       = {{Scheideler, Eva and Ahlemeyer-Stubbe, Andrea}},
  booktitle    = {{Production engineering and management : proceedings 6th international conference, September 29 and 30, 2016 Lemgo, Germany }},
  editor       = {{Villmer, Franz-Josef and Padoano, Elio}},
  keywords     = {{Simulation, Metamodel, Computer experiment, Design of experiments}},
  location     = {{Lemgo}},
  number       = {{1}},
  pages        = {{269--280}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments}}},
  volume       = {{2016}},
  year         = {{2016}},
}