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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.
Date of Conference: 19-21 March 2012