Experimental design and optimization - Introduction

4 important questions on Experimental design and optimization - Introduction

What are factors in factorial design?

Input parameters and structural assumptions composing a model.
Either qualitative or quantitative, controllable or uncontrollable.

What is factor screening?

Sensitivity analysis; to determine which factors have the greatest effect on a resopnse, and to do so with the least amount of simulating.

What is the response-surface methodology?

Find the combination of input-factor values that optimizes a response
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What are the advantages of simulation experiments?

* Control factors that are in reality uncontrollable (e.g arrival rates)
* control the basis source of variability to reduce variance
* No need for randomizing, assuming that the random-number generator is working properly
* It is possible to make multiple replications for each input-factor combination --> simple procedure for determining statistical significance

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