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Input variable selection algorithms for HPC

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2 Author(s)
Gradisar, D. ; Dept. of Syst. & Control, Jozef Stefan Inst., Ljubljana, Slovenia ; Glavan, M.

The paper refer to the problem of a holistic production control (HPC). The main idea of HPC is to derive an optimisation strategy which is based on a simple model of only a few production Key Performance Indicators (pKPI). The main challenge of the HPC approach is the derivation of an appropriate pKPI model, where the main steps are: data preprocessing, pKPI definition, input variables selection (IVS) and black-box modelling. In this paper we are focused on the problem of the selection of the most influential inputs, where the review of different IVS methods is given.

Published in:

Industrial Technology (ICIT), 2012 IEEE International Conference on

Date of Conference:

19-21 March 2012