A simplified probabilistic validation of production flows

  • Kadir Emir  , 
  • b David Kruml  , 
  • c Jan Paseka  , 
  • d Iveta Selingerová 
  •  
  • ab Department of Mathematics and Statistics, Masaryk University, Kotlárská 2, 611 37 Brno, Czech Republic
Cite as
Emir K., Kruml D., Paseka J., Selingerová I. (2019). A simplified probabilistic validation of production flows. Proceedings of the 18th International Conference on Modelling and Applied Simulation (MAS 2019), pp. 166-173. DOI: https://doi.org/10.46354/i3m.2019.mas.021
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Abstract

This paper extends the stack validation algorithm in a probabilistic way. In other words, we introduce a new model for stack validation when the production parameters are random variables and the result is compared with a confidence interval. The major outcome of this simplified probabilistic model is to determine random variables merely by mean, variance, and skewness. This straightforwardly enables some direct, fast and consistent calculations by using certain properties of these moments.

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