Exam 13: Introduction to Optimization Modeling

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The prototype linear programming problem is to select an optimal mix of products to produce to maximize profit.This type of problem is referred to as the _____ problem.

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When formulating a linear programming spreadsheet model,there is one target (objective)cell that contains the value of the objective function.

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Shadow prices are associated with nonbinding constraints,and show the change in the optimal objective function value when the right side of the constraint equation changes by one unit.

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Proportionality,additivity,and divisibility are three important properties that LP models possess that distinguish them from general mathematical programming models.

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Suppose a constraint has this equation: Suppose a constraint has this equation:   Then the slope of the constraint line is -2. Then the slope of the constraint line is -2.

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One of the tasks that you can perform with linear programming and a spreadsheet model is developing a user interface to make it easier for someone who is not an expert in using linear programming.The output can be a report that explains the optimal policy in non-technical terms.The type of system being described is called a(n)

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Nonbinding constraints will always have slack,which is the difference between the two sides of the inequality in the constraint equation.

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Consider the following linear programming problem: Maximize: Consider the following linear programming problem: Maximize:   Subject to:       The above linear programming problem Subject to: Consider the following linear programming problem: Maximize:   Subject to:       The above linear programming problem Consider the following linear programming problem: Maximize:   Subject to:       The above linear programming problem Consider the following linear programming problem: Maximize:   Subject to:       The above linear programming problem The above linear programming problem

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Infeasibility refers to the situation in which there are no feasible solutions to the LP model.

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The additivity property of LP models implies that the sum of the contributions from the various activities to a particular constraint equals the total contribution to that constraint.

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