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Exploring the Relevance of the Graphical Method in Linear Programming for Decision Making

This paper explores the relevance of the graphical method in linear programming for business decision-making.

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    Exploring the Relevance of the Graphical Method in Linear Programming for Decision Making Discussion 3 Not very many real world examples use only two variables, and those that do can usually be solved much more easily by guess and check methods rather than LP models. Why then do we study the graphical method? Be specific. While linear programming models may not accommodate enough variables to run even a small business, they can be effective for use as a decision making tool for individual situations. For example: say a given department within an organization has been running over budget for several quarters and two options for reductions in operating expenses for that department have been proposed. A linear programming model could be constructed to help determine the optimal mix between the two measures within a feasible region on a graphical representation. Using a graphical representation of an LP model can help decision makers better visualize the optimal region within a given feasible region. References Taylor, B. W. (2011 custom Ed.). Introduction to management science. Boston, MA: Pearson Learning Solutions. | \ — StudyXY

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