Simulation set-up
21 important questions on Simulation set-up
What are, according to the slides, the four important steps of a simulation study?
2. Model construction
3. Experimental design and result analysis
What actions are undertaken in the problem definition phase?
Based on what factors is the scope/level of detail of the study determined?
2. The available time/budget
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Which three categories of data are explained in the lecture slides?
2. Not available, but collectable
3. Not available and not collectable
How to overcome non-available and non-collectable data?
2. Adjust project goals
What three sub-steps are there to model construction?
2. Implementation
3. Model validation
Why should you document your model construction?
2. In case multiple developers work on the model
What is the difference between validation, verification and credibility?
2. Verification ensures that the model represents the papermodel. (Do you model what you want to model?)
3. Credibility ensures that the decision maker accepts the models and results as being correct.
How can you verify the model?
-Use modules and test modules separately
-Let more than one person review the program (structured walk-through)
-Carry out preliminary runs and check whether the output and the effects of modifying parameters is plausible
-Tracing: list the events and system state variables option: stop program, modify a certain parameter to force a certain event to happen (e.g., arrival of a certain patient) and watch whether the intended effect occurs
-Run simplified model for which analytical results are available and compare output
-Observe animation
-Check input random generators
-Use built-in debugger to find and solve errors! (DEMO)
How can the validity and credibility of a model be increased?
2. Compare model with reality
3. Use animation
4. Ture test: Let experts guess which data is from the model/reality.
How can a model be compared with reality in a statistical way?
2. Confidence interval approach
Why is a confidence interval preferred over a statistical test?
What is the meaning of a factor, in experimental design?
What is the meaning of level, in experimental design?
What is the most important idea behind experimental design?
What is a drawback of the OFAT-method?
How can one determine which factors have the greatest effect on a response?
2. 2k factorial design. Here one only considers two levels of each factor and their interactions.
What possible outcomes for main effects are there for two-way interaction effects in 2-factor design(22).
-Positive interaction
-Negative interaction
What are drawbacks of the 2k-factorial design?
2. Effects depend on the choice for the low and high-factor level.
3. Number of experiments explodes with number of factors
What is 2k-p factorial design? What are its 'issues'?
Challenges:
-It is hard to determine what subset of experiments to choose
- Two effects are confounded in a fractional factorial design if the formulas to calculate both effects are exactly the same. As a result we can only estimate the joint effect of two effects.
What is the issue with CRN that are used to decrease the width of the Confidence Interval for Interaction Effects?
The question on the page originate from the summary of the following study material:
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