The developed Taguchi’s model for the multiobjective process design could incorporate customers’ specifications for several characteristics and could be used to optimise various types of manufacturing processes. The goals of the model implementation areis is to find the optimal process parameter settings and to reduce the influence of noise factors, to ensure the achievement of the specified product characteristic values and to reduce variations. The model is given in a form of an hybrid intelligent system for the process design (optimisation, modelling and/or simulation), providing the possibility for learning features (learning from the experimental or from the historical data).