Exam 1: Introduction to Modeling
Exam 1: Introduction to Modeling30 Questions
Exam 2: Introduction to Spreadsheet Modeling30 Questions
Exam 3: Introduction to Optimization Modeling30 Questions
Exam 4: Linear Programming Models31 Questions
Exam 5: Network Models30 Questions
Exam 6: Optimization Models With Integer Variables30 Questions
Exam 7: Nonlinear Optimization Models30 Questions
Exam 8: Evolutionary Solver: An Alternative Optimization Procedure30 Questions
Exam 9: Decision Making Under Uncertainty30 Questions
Exam 10: Introduction to Simulation Modeling30 Questions
Exam 11: Simulation Models30 Questions
Exam 12: Inventory and Supply Chain Models30 Questions
Exam 13: Queuing Models30 Questions
Exam 14: Regression and Forecasting Models30 Questions
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In modeling situations where it is not possible to write an equation for an output in terms of the inputs, there may still be a mathematical procedure for calculating outputs from inputs.
(True/False)
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The modeling process discussed in Practical Management Science is a
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In some applications, an analyst might present several alternative solutions from a model, and let the organization choose the best one.
(True/False)
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Which of the following is not one of advantages of mathematical models?
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Models that suggest a desirable course of action are called descriptive models
(True/False)
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Verification is typically the most difficult phase of the modeling process, from a mathematical perspective.
(True/False)
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Which of the following is a possible cause if a model's outputs for certain inputs are not as expected?
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In a descriptive model, the manager first wants to build a model that reflects the current situation.
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A first step in determining how well a model fits reality is to:
(Multiple Choice)
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Which of the following is not one of the reasons for the new-found relevance of management science models?
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