Discrete event dynamic systems framework for analysis and modeling of real manufacturing system

Authors:
J. Zelenka
Affiliations:
Institute of Informatics, Slovak Academy of Sciences, Bratislava, Slovakia
Venue:
INES'10 Proceedings of the 14th international conference on Intelligent engineering systems
Year:
2010

Citing 3
Cited 0

Probabilistic hill-climbing

Proceedings of the workshop on Computational learning theory and natural learning systems (vol. 2) : intersections between theory and experiment: intersections between theory and experiment
An Introduction to Genetic Algorithms

An Introduction to Genetic Algorithms
Genetic Algorithms and Manufacturing Systems Design

Genetic Algorithms and Manufacturing Systems Design

Quantified Score

Hi-index	0.00

Visualization

Abstract

This article refers to possibility of utilization of modeling of a manufacturing system sense as a discrete event system by the optimization of a job schedule. Using software tools we can create a model, which allows simulation of system behaviour at varying parameters. The example of the manufacturing system model created by the SimEvents toolbox of software tools Matlab is illustrated.