Intelligent model for painting process and cost forecasting

R. Mankute, A. Bargelis


In this paper the structure and mathematical for-malization of intelligent model for painting processes and cost forecasting is presented. This model can be applied in the early product design stage generating various alterna-tives of product structure and seeking the best one accord-ing to painting process cost. Developed intelligent model is helpful for fast selection of best painting technology proc-ess, equipment and for forecasting of process cost. Re-search showed the dispersion of painting process fore-casted cost – from 5.5 % to 10.8 %.

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Print ISSN: 1392-1207
Online ISSN: 2029-6983