Optimization of Poultry Feeds Production Using Linear Programming Technique
Abstract
In Production Industries where the objectives of firms are centred on the increment in profit and reduction in the cost of production, while maintaining standard quality product, it becomes necessary to evaluate the equivalent units of production that promote the company's goal. This paper presents a Linear Programming (LP) approach that optimizes production units to achieving the overall maximum profit generated from different types of feeds produced by poultry feed industry, while considering several constraints during the blend of constituents in the production of rations. Data from a feed mill in Lagos State in South-West Nigeria that produces poultry feeds, such as starter mash, grower mash, chick mash, and broiler mash were collected for validation of the Linear Programming (LP) model. Results showed that by utilizing 1000kg of maize, 1331.42kg of wheat ofals, 819.43kg of soya beans, 407.34kg of metaioline, 5.34kg of lysine, and 67.49kg of fish meal from the available quantities in stock, the overall profit to be generated from poultry feeds production increases from N7,602 to N9,424.60. It was also deduced from results obtained that the feed mill can achieve maximum profit by concentrating on production of layer mash and broiler finisher mash or increasing the production of these types of feeds among others usually produced in the feed mill.
Keywords: Poultry feeds, Optimization, Linear Programming, Constituents, Constraints.References
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