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    A computerized poultry optimization System

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    Undergraduate dissertation (1.255Mb)
    Date
    2019-06
    Author
    Turyarugayo, Thompson
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    Abstract
    The main aim of this study was to develop a Poultry Farm Resource Optimization system that enables poultry farmers maximize profits as well as minimize costs on the farm, the resources optimized include water, feeds as well as medicine. During the study, research from certain poultry breeders was done so as to determine the resources required for the farmers to invest in a poultry business. A context diagram and Entity Relationship Diagram were used to show the overview of the system, its boundaries, external entities and major information flows between the entities. The Simplex method was used to formulate and solve the Linear Programming Problem and Java was used to create the backend algorithm of Linear Programming Problem which is run to acquire the optimal solution (Maximization or Minimization) , an interface was developed using Eclipse Window Builder which helps capture input from the keyboard to fill in the coefficients in the constraints and the objective function of the LP problem in the backend algorithm, the interface also displays the result of the operation i.e. the maximum profit ,number of poultry as well as the minimum cost. Google OR-Tools were used as a data structure to enable the use of Linear Programming methods (setConstrainst, setCoefficients, MPVariables, GLOP MPSolver) in Java to create the LP backend algorithm. System testing was done in two ways; that is component testing where the different parts of the system were individually tested independently and System testing where the entire system is tested as a whole and all shortcomings were noted and dealt with, the prototype was presented to few students to realize more errors and confirm usability. This report also provides the achievements and limitations faced during the course of this project, alongside recommended future works and conclusion.
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    http://hdl.handle.net/20.500.12281/6281
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