Formulation of Simulation Tool Using Nonlinear Programming for Animal Diet

Abstract

The motivation of this work lies in two scenarios of livestock industry, the importance of newlineproper animal nutrition and the complications which make animal nutrition a multi newlineobjective problem. Livestock industry plays a vital role in the economic growth of any newlinecountry as well as in supplying quality food. Proper nutrition of livestock is one of the newlinekey factors for the economic growth of livestock industry. As proper nutrition assures newlinebetter health, growth, re-productivity and performance of the livestock, the nutritionally newlinebalanced feed mix of the livestock has become an essential and important factor for newlineeconomic growth of livestock industry. Mathematical programming plays an important newlinerole in providing balanced feed mix to the livestock. The classical approach of newlineformulating balanced feed mix is optimization of only one objective function with newlinenutrient requirements as rigid constraints. But in real life situation, there may be many newlineother objectives of livestock industry. For example: formulation of feed mix with the newlineinclusion of nutrient variability at a desired probability level, simultaneous achievement newlineof multiple objectives, maximum or minimum inclusion of the desired feed ingredients, newlinemaximization of weight gain, maximization of animal yield etc. All these objectives lead newlineto the development and implementation of different mathematical models for feed mix newlineformulation. newline