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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/6634

Title: Optimal production scheduling: A case study of Everpure Ghana Limited
Authors: Ntim-Barimah, Obaapa
Issue Date: 20-Oct-2014
Abstract: The manufacturing industry undoubtedly has immeasurable impart on countries worldwide. It has opened up business opportunities, create jobs, and improved quality of life. It thus improves the socio-economic development of nations. For instance, in 2012, the manufacturing industry contributed $1.87 trillion to the united states’ economy. This was 11.9% of the united United States’ total GDP(Gross Domestic Product). In the same way, in Ghana, it accounted for 27.6% of GDP in 2011. The pivotal role of the manufacturing industry to the global economy is therefore not in doubt. The main objectives of this study among others were to establish a good production schedule that will satisfy future demand for the manufacturing industry, determine how to optimize a production scheduling using transportation model and establish schedule formulation and analyze using MATLAB software. The study modeled the production problem as a transportation problem which involve determine how to optimally transport goods.In a balanced transportation problem, the supply must be equal to the demand. The initial basic feasible solution is found using the Vogel’s Approximation Method and to iterate to optimality, the Modified Distribution Method (MODI) is used. A twelve month data on production capacity at Everpure Ghana Limited is collected for the study. The methods used have proven appropriate in obtaining the optimum schedule. From the result, it is clear that efficient scheduling could reduce production and inventory cost whilst satisfying customer demand.
Description: A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the degree of MSc Industrial Mathematics, 2014
URI: http://hdl.handle.net/123456789/6634
Appears in Collections:College of Science

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