ME 366L Weekly Overview - Week 02

ME 366L Weekly Overview - Week 02 - by solving a problem...

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Week Two – Basics of linear programming, underlying assumptions of LP model, manufacturing example, characteristics of solution, sensitivity analysis, using the Excel add-ins to solve problems Fundamentals of the linear programming model Context: We have discussed the process of transforming a problem statement into a mathematical model. We are now going to focus on a specific model called a linear program and identify the circumstances under which it can be used. Although the linear program is the simplest type of optimization model its applicability spans all aspects of human activity. Purpose: To provide you with a basic understanding of the linear programming model, the assumptions that underlie its use, the information that can be obtained
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Unformatted text preview: by solving a problem formulated as a linear program, and the various techniques used to find solutions. Objectives: At the end of this lesson, you will be able to: 1. Enumerate and explain the assumptions associated with a linear program. 2. Solve two-dimensional linear programs graphically. 3. Identify decision variables and constraints in a resource allocation problem. 4. Know how to translate the decision variables and data for a given problem into a linear program. 5. Explain the importance of sensitivity analysis in linear programming and be able to generate and interpret sensitivity results obtained with the Excel add-in 6. Characterize the feasible region of a linear program and explain the nature of solutions....
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This note was uploaded on 12/19/2011 for the course M E 366l taught by Professor Staff during the Spring '08 term at University of Texas.

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