Application of Mathematical Programming Methods to provide Nutritious Ration for Broilers and Hens during Oviparous

Minimizing production costs for a certain amount of product is one of the main concerns for managers of agricultural and animal husbandry units. Much of the cost of a unit of livestock (almost 75%) is related to methods of nutrition and ration. Accordingly, using some methods to reduce costs, including methods of mathematical programming, is required. The Linear programming model was used as the study framework. The almost optimal model was used to cause a variety of options to ensure the price ceiling has been applied. The fuzzy linear model was used to find the best combination of foods with minimal cost for broilers and hens during oviparous in the growth period (11 to 24 days) and (7 to 12 weeks). The study conducted in 1389. The results showed that prepared ration for oviparous is cheaper than ration of broilers. Furthermore, the fuzzy linear model, in comparison with linear programming, reduced costs for producing broilers and oviparous. Reduction in the costs increased the ration flexibility by 0.6 and 0.7 percent for broilers and oviparous, respectively. However, cost reduction in this period of growth was not found remarkable and fuzzy model in comparison with MGA and LP presented little advantage. Ultimately, the study suggests that the simultaneous collaboration of experts in nutrition and experts in planning leads to economic ration.

Keywords:

Linear programming , Uncertain situation , Flexibility , Risk , FLP , NOLP , MGA