Published in Scientific Papers. Series D. Animal Science, Vol. LVIII
Written by Alexandru KELEMEN, Gheorghe Emil MARGINEAN, Livia VIDU
This paper aims to present the methods used so far for mathematical modelling and the optimization techniques of the dairy farming sector. Article content is based on the various papers published from 1940, a period which is considered to taken the first steps in mathematical modelling and optimization of technology used in dairy farming. In literature are described three main groups of optimization methods: intuitive methods (empirical, quantitative and qualitative analysis, graphs and charts, etc.), statistical and mathematical (clusters, dynamic series analysis, correlations, etc.) and operational research ( linear programming, non-linear programming, square programming, etc.). Currently, both farmers and staff involved in livestock research, have a number of computer softwares, very affordable, allowing quick and efficient analysis of information that build mathematical models developed to optimize dairy farming technology. In addition, these programs allow maximum freedom in terms of how the mathematical models are constructed and their degree of complexity. A good example is the optimization of feed rations and recipes that can be made with specialized softwares or general softwares such as Excel. In both cases, the biological limits imposed restrictions on the model, but the human factor is the one who decides the number of feeds or the number of nutrients that make the object of optimization. Mathematical modelling and optimization activities in this area are of greatest interest because they allow, through a systemic and causal approach of the phenomena that occur in the dairy farm system, achieving economic goals such as minimizing costs, optimizing the use of available resources and maximizing income or profit.
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