ISYE 6644 Midterm 1 Exam
(Simulation) | Actual Exam
Questions and Correct Answers |
Simulation and Modeling for
Engineering and Science |
Georgia Institute of Technology
Save
Terms in this set (82)
What are some 1. Discrete (vs. continuous)
characteristics 2. Stochastic (vs. deterministic)
of simulation 3. Dynamic (vs. static)
models?
, Simulation is the imitation of a real-
world process of system over time.
What is Simulation involves the generation
simulation? of an artificial history to draw
inferences concerning the
operating characteristics of the
real system that is represented.
1. Describe / analyze real or
conceptual system behavior.
What is
2. Ask "what if" questions.
simulation good
3. Aid in system design and
for?
optimization
4. Can simulate almost anything
, 1. Will the system accomplish its
goals?
2. Current system won't accomplish
its goals, now what?
What are the 3. Need incremental improvement.
reasons to 4. Create a specification or action
simulate? plan
5. Solve a problem, like a
bottleneck.
6. Resolve disputes
7. Sell an idea
1. Can study models too
complicated for analytical /
numerical treatment
2. Study detailed relations that
might be lost in the analytical or
numerical treatment
What are the
3. Use as a basis for experimental
advantages of
studies of systems
simulation?
4. Use to check results and give
credibility to conclusions obtained
by other methods.
5. Reduce design blunders
6. Really nice demo method
7. (sometimes) very easy
, 1. Sometimes not so easy
2. Sometimes very time consuming
/ costly
What are the 3. Simulations give "random"
disadvantages output (and lots of
of simulation? misinterpretation of results is
possible)
4. To do a certain problem, better
methods than simulation may exist
(Simulation) | Actual Exam
Questions and Correct Answers |
Simulation and Modeling for
Engineering and Science |
Georgia Institute of Technology
Save
Terms in this set (82)
What are some 1. Discrete (vs. continuous)
characteristics 2. Stochastic (vs. deterministic)
of simulation 3. Dynamic (vs. static)
models?
, Simulation is the imitation of a real-
world process of system over time.
What is Simulation involves the generation
simulation? of an artificial history to draw
inferences concerning the
operating characteristics of the
real system that is represented.
1. Describe / analyze real or
conceptual system behavior.
What is
2. Ask "what if" questions.
simulation good
3. Aid in system design and
for?
optimization
4. Can simulate almost anything
, 1. Will the system accomplish its
goals?
2. Current system won't accomplish
its goals, now what?
What are the 3. Need incremental improvement.
reasons to 4. Create a specification or action
simulate? plan
5. Solve a problem, like a
bottleneck.
6. Resolve disputes
7. Sell an idea
1. Can study models too
complicated for analytical /
numerical treatment
2. Study detailed relations that
might be lost in the analytical or
numerical treatment
What are the
3. Use as a basis for experimental
advantages of
studies of systems
simulation?
4. Use to check results and give
credibility to conclusions obtained
by other methods.
5. Reduce design blunders
6. Really nice demo method
7. (sometimes) very easy
, 1. Sometimes not so easy
2. Sometimes very time consuming
/ costly
What are the 3. Simulations give "random"
disadvantages output (and lots of
of simulation? misinterpretation of results is
possible)
4. To do a certain problem, better
methods than simulation may exist
