Optimization of Production Scheduling as Linear Programming Model

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Date
2013-12-09
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Abstract
Production levels must allow a manufacturing organization to meet demand for its production as well as sales targets which belong to key performance indicators, inspite of any prevailing constraints. Managerial decision making to achieve objectives carry along with it responsibility to interpret data to identify the way things work or should work. This includes the simultaneous considerations of both production and sales limitations. In a case study for a cable manufacturing company, optimization of production scheduling was treated as a linear programming problem. The simplex algorithm was applied to determine optimal schedules for each of the six fast selling copper products that can yield the total monthly copper budget at sales. In a sensitivity analysis, the impact of varying operational constraints on the linear programming model was examined to verify the effects of changes on outcomes of the model. Interpretations of the results from the analysis formed basis for recommendations to enhance managerial decisions.
Description
A Thesis Submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirements for the Degree of Master of Science.
Keywords
Optimal schedules, Production and sales target, Linear objective function & constraints, Simplex algorithm
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