Chapter 1 – Introduction to Modeling
1. Which of the following is a type of model that is key to virtually every management science application?
a.
Heuristic model
b.
Queuing model
c.
Mathematical model
d.
Regression model
c
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2. Which of the following is not one of advantages of mathematical models?
a.
b.
c.
d.
d
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3. Before trusting the answers to what-if scenarios from a spreadsheet model, a manager should attempt to:
a.
validate the model
b.
make sure all possible scenarios have been investigated
c.
check the mathematics in the model
d.
sense-check the model
a
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4. Optimization models are useful for determining:
a.
sensitivity to inputs
b.
whether the inputs are valid or not
c.
what the manager should do
d.
the value of the output under the current conditions
c
1
5. Management science has often been taught as a collection of:
a.
theories
b.
problems
c.
models
d.
topics
c
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6. The modeling process discussed in Practical Management Science is a
a.
seven-step process
b.
six-step process
c.
five-step process
d.
four-step process
Chapter 1 – Introduction to Modeling
1
7. Defining an organization’s problem includes:
a.
specifying the organization’s objectives
b.
collecting the organization’s historical data
c.
defining the model of the problem
d.
sensitivity analysis
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8. Which of the following type of model is used when an appropriate equation or system of equations can be developed to
represent the system?
a.
Simulation model
b.
Analytical model
c.
Heuristic model
d.
Spreadsheet model
b
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9. A first step in determining how well a model fits reality is to:
a.
check whether the inputs are correct
b.
see if the sensitivity analysis is correct
c.
check whether the model is valid for the current situation
d.
try some what-if scenarios to see if the model is able to obtain solutions
1
10. Which of the following is not necessarily a property of a good model?
a.
The model represents the client’s real problem accurately
b.
The model is as simple as possible
c.
The model is based on a well-known algorithm
d.
The model is one the client can understand
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11. Which of the following is a possible cause if a model’s outputs for certain inputs are not as expected?
a.
The certain inputs may not be correct
b.
The model could be too detailed of an approximation of the actual situation
c.
The mathematics in the model are inadequate
d.
The analyst’s expectations are not correct
d
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12. Which of the following is not one of the guiding principles for a heuristic?
Chapter 1 – Introduction to Modeling
a.
Common sense
b.
Intuition
c.
Trial and error
d.
Optimality
d
1
13. Which of the following is not one of the desired conditions for a successful model implementation?
a.
The people who will run the model understand how to enter appropriate inputs
b.
The people who will run the model are able to run what-if analysis
c.
The people who will run the model are able to modify it
d.
The people who will run the model are able to interpret the model’s outputs correctly
c
1
14. The most frequent cause of a failed implementation of a model is:
a.
the model is incorrect
b.
the analyst fails to communicate how to use the model
c.
the data for the model is unavailable
d.
the model is too complex
b
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15. Which of the following is not one of the reasons for the new-found relevance of management science models?
a.
Modeling is an important way to think about problems in general
b.
Modeling is often now a legal requirement
c.
The business world is increasingly driven by numbers
d.
Modeling helps develop intuition for problems
b
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16. Models that suggest a desirable course of action are called descriptive models
a.
True
b.
False
False
1
17. 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.
a.
True
b.
False
True
1
18. In a descriptive model, the manager first wants to build a model that reflects the current situation.
Chapter 1 – Introduction to Modeling
a.
True
b.
False
True
1
19. One of the advantages of spreadsheet models is that they allow managers to ask what-if questions.
a.
True
b.
False
True
1
20. 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.
a.
True
b.
False
False
1
21. 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.
a.
True
b.
False
False
1
22. Modeling is a process where the essence of a theoretical problem is extracted into a model, spreadsheet or otherwise.
a.
True
b.
False
False
1
23. In some applications, an analyst might present several alternative solutions from a model, and let the organization
choose the best one.
a.
True
b.
False
True
1
24. A management science model is typically initiated when an organization believes it has a problem.
a.
True
b.
False
True
1
25. Data are often not in the required form, in which case it is the analysts’ job to gather the right data and put it into an
Chapter 1 – Introduction to Modeling
appropriate format.
a.
True
b.
False
True
1
26. A good model should achieve the right balance between being too simple and too complex.
a.
True
b.
False
True
1
27. Verification is typically the most difficult phase of the modeling process, from a mathematical perspective.
a.
True
b.
False
False
1
28. As models become larger and more complex, heuristic solutions are often adequate, even though they are not
necessarily optimal solutions.
a.
True
b.
False
True
1
29. 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.
a.
True
b.
False
False
1
30. A completed model typically marks the end of the modeling process.
a.
True
b.
False
False
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