| Autor: |
Juutilainen, Ilmari, Tuovinen, Lauri, Laurinen, Perttu, Koskimäki, Heli, Röoning, Juha |
| Předmět: |
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| Zdroj: |
Journal of Computing & Information Technology; Sep2011, Vol. 19 Issue 3, p193-206, 14p |
| Abstrakt: |
Software applications used in the controlling and planning of production processes commonly make use of predictive statistical models. Changes in the process involve a more or less regular need for updating the prediction models on which the operational software applications are based. The objective of this article is * to provide information which helps to design semi-automatic systems for the maintenance of statistical prediction models and * to describe a proof-of-concept implementation in an industrial application. The system developed processes the production data and provides an easy-to-use interface to construct updated models and introduce them into a software application. The article presents the architecture of the maintenance system, with a description of the algorithms that cause the system's functionality. The system developed was implemented for keeping up-to-date prediction models which are in everyday use in a steel plate mill in the planning of the mechanical properties of steel products. The conclusion of the results is that the semi-automatic approach proposed is competitive with fully automatic and manual approaches. The benefits include good prediction accuracy and decreased workload of the deployment of updated model versions. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
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