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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Simulation Of The Control Of Exponential Smoothing By Methods Used In
Industrial Practice |
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Authors: |
Frank Herrmann |
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Published in:
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(2012).ECMS
2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European
Council for Modeling and Simulation. doi:10.7148/2012 ISBN:
978-0-9564944-4-3 26th
European Conference on Modelling and Simulation, Shaping reality through simulation Koblenz,
Germany, May 29 – June 1 2012 |
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Citation
format: |
Herrmann, F. (2012). Simulation Of
The Control Of Exponential Smoothing By Methods Used In Industrial Practice.
ECMS 2012 Proceedings edited by: K. G. Troitzsch,
M. Moehring, U. Lotzmann (pp. 560-566). European Council for
Modeling and Simulation. doi:10.7148/2012-0560-0566 |
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DOI: |
http://dx.doi.org/10.7148/2012-0560-0566 |
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Abstract: |
Demands of customers for products
and of the production for parts are being forecasted quite often in
companies. The results are used extensively within the operational production
planning and control by IT Systems like the SAP system. Hereby preferably
methods based on exponential smoothing are being applied. Especially, in
industrial practice it is expected that the pattern of the data change over
time in such a way, that the parameters of the exponential smoothing have to
be changed. In some companies thousands of items require forecasting, which
is very laborious. With an adaptive method the parameters are modified in a
controlled manner, as changes in the pattern occur. Two adaptive methods used
in industrial practice are explained. Simulation experiments over a huge
number of periods show when they should be used. |
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