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The need for optimizing chemical and fine chemical production processes in industry by taking economic issues into account has increased more than ever before. This work deals with the evaluation of processing data variables with multiple regression analysis in an existent production processes. The defined regression model is afterwards used to predict total production costs – TPC in transfer procedure of new processes from pilot to multipurpose production plant. Decision- tree diagram was also developed to simplify transfer procedure. Both, decision-tree diagram and defined regression model considerably affect the lower uncertainty of confidence for transferring new product processes, which can obviously lead to increased cost efficiency and competitiveness at the market.
Keywords: Multiple regression analysis, technology transfer procedure, multipurpose production plant, total production costs