Exam 1: Introduction to Modeling
Exam 1: Introduction to Modeling30 Questions
Exam 2: Introduction to Spreadsheet Modeling30 Questions
Exam 3: Introduction to Optimization Modeling29 Questions
Exam 4: Linear Programming Models30 Questions
Exam 5: Network Models30 Questions
Exam 6: Optimization Models With Integer Variables28 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 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.
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True
A first step in determining how well a model fits reality is to:
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Correct Answer:
C
A management science model is typically initiated when an organization believes it has a problem.
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True
Management science has often been taught as a collection of:
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Which of the following is not necessarily a property of a good model?
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The best strategy for implementation of a model is to involve key people in the organization in the project when the model is ready for testing and verification.
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Which of the following is not one of the guiding principles for a heuristic?
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Which of the following type of model is used when an appropriate equation or system of equations can be developed to represent the system?
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Before trusting the answers to what-if scenarios from a spreadsheet model,a manager should attempt to:
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One of the advantages of spreadsheet models is that they allow managers to ask what-if questions.
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The overall modeling process typically done in practice always requires seven steps: define the problem,collect and summarize data,develop a model,verify the model,select one or more suitable decisions,present the results to the organization,and finally implement the model and update it through time.
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Which of the following is not one of advantages of mathematical models?
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A good model should achieve the right balance between being too simple and too complex.
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Models that suggest a desirable course of action are called descriptive models
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The most frequent cause of a failed implementation of a model is:
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The modeling process discussed in Practical Management Science is a
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Modeling is a process where the essence of a theoretical problem is extracted into a model,spreadsheet or otherwise.
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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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One of the arguments that management science practitioners have used to criticize the emphasis on specific models is that they do not provide the correct answer.
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