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Digital
Library of the European Council for Modelling and Simulation |
Title: |
Data Analytics, Model Generation
And Optimization Algorithms - A Perfect Match? |
Authors: |
Thomas Husslein |
Published in: |
(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling
and Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
Citation
format: |
Thomas
Husslein (2016). Data Analytics, Model Generation
And Optimization Algorithms - A Perfect Match?, ECMS
2016 Proceedings edited by: Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose European Council for Modeling
and Simulation. doi:10.7148/2016-0007 |
DOI: |
http://dx.doi.org/10.7148/2016-0007 |
Abstract: |
To provide a timely and
cost-effective reaction to the ever changing planning tasks within production
and logistics, automated planning and optimization methods gain more and more
acceptance with industrial applications. Every ORbased
solution for production- and logistics planning requires a mathematical model
of the relations of the different parameters and variables. Presently the creation of the model is performed by human experts.
Due to the complexity and high frequency of changes within the logistics and
productions processes, a detailed modeling for these processes by humans
often is not possible or is too costly. In the approach presented here a
robust model with good accuracy and reduced complexity is created
automatically by data analysis. The result is the prediction of the
systematic behavior of logistics processes that allows to
keep the model up to date at almost no additional cost. Subsequently
the obtained model is used as an input for automated optimization algorithms.
The presented approach combines methods from Data Analysis, Artificial
Intelligence and Mathematical Optimization. An application for car
manufacturing processes is provided. The prospects for the generalized application
in many environments are outlined. |
Full
text: |