A methodical approach to the multi-criteria selection in the pharmaceutical technological research with quantitative factors

Aim. To analyze the existing methods for solving multi-criteria optimization problems with quantitative factors and consider expediency of their application in pharmaceutical technological research. Materials methods. The theoretical empirical methods, as well scientific data on were used Results discussion. It has been found that when conducting research statistical processing results experiments are used. determined regression analysis allows us to present dynamics changes pharmacopoeial characteristics studied from variable a compact form. equations enable researcher effectively search optimal conditions operations local criteria finding solution. proven need optimize several simultaneously developing technology medicinal product considering tasks selection special class decision-making verge between well-structured situations tasks, which differ. Conclusions. determine solution course pharmaco-technological development, method an ideal point proposed synthesis mathematical calculations procedures by researcher. is conducted range acceptable values variables determines totality, able provide set closest option This approach involves preliminary single-criterion each individual criterion reduction all form minimum deviation objective functions obtained values.