Optimization of feed for unproductive animals with the help of mathematical modeling

The article describes a new approach to improve the resource saving in the production of pet food through the use of secondary raw materials and optimal food recipes provided by mathematical modeling on the basis of fuzzy logic device. Unstable quality indicators of raw materials and the interaction between the components of the mixture make it more difficult to construct a complete mathematical model. That is why modeling of recipes for unproductive animals food is carried out by means of fuzzy logic device. The advantage of this method is the ability to carry out the analysis, in a subjective evaluation of empirical data and the absence of an explicit numerical form of result. The advantages of these systems are particularly bright when designing multicomponent food products, where the uncertainty of input and output parameters is high and the quality is assessed by sensory analysis. Fuzzy logic device allows to improve the quality of objects management, to determine the optimal ratio of recipe components when designing new types of multicomponent dry food products and to reduce the number of experiments. Moreover it provides the opportunity to improve the production management and the finished product control quality in conditions of information uncertainty, which is typical for real production in food industries. To implement the proposed method, we used the Fuzzy Logic Toolbox module, included in the MatLab package, and to represent the modeling results graphically, we used the Surfase Viewer module. The analytical calculations and experimental results showing the efficiency of the proposed method for different gender groups of animals are given.