LINEAR PROGRAMMING MODELS APPLICATION IN NIGERIA BROILER POULTRY RATIONS: TRANSPORT LOGISTIC DISTRIBUTIONS AND OPTIMIZED NUTRIENTS DIET FORMULATION
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Date
2010
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Abstract
The diet issue, a well-known topic, was one of the first problems to be described as linears programming.
The objective of the diet issue is to choose a set of foods that will satisfy a set of daily nutritional
demands while being as affordable as possible. Due to their primitive stomachs, chickens cannot
synthesize the majority of the elements they need, making them an essential in terms of nutrition. A
balanced diet is necessary for chicken's growth, livability, and ability to reach its complete genetic
potential. The profitability of live birds must be maximized, and feed costs per kg of bodyweight must be
reduced. The nutrient diet early discussions incorporates a number of feed ingredients needed for the
bird's diet to be balanced. The general mathematical model is built as = ∑
subject
to twelve restrictions received from a local farm It comprises ten variables and nine decision factors for
each type of ration. In order to make the model usable, an excel solver application was used to solve it.
The model and sensitivity analysis results were generated, and they were compared to the procedures
followed by the real case farm. When compared to the present formulation, the linear programming
model's proposed optimal formulation reduces feed formulation costs both starter and finisher broiler
birds on the farm by roughly 7.48% and 9.96%, respectively. The model also considerably raised the
quantity of metabolizable energy required for physiological structure while significantly boosting the
quantity of metabolizable energy required for diet while reducing the amount of fat in the diet.
Sensitivity analysis also provided valuable insight into the effects of variations in feed input costs. An
efficient distribution of the new food ration from manufacturing plants to meet exporters' demand while
reducing the expense of transporting (distributions) of the novel food rationing is made possible by the
study's integration of a transportation model