Simulation Metamodeling - building and using surrogate models that can approximate results from more complicated simulation models - is an interesting approach to analyze results from complicated, computationally expensive simulation models. Metamodels are useful because they can yield good approximations of the original simulation model response variables using less computational ...

Simulation Metamodeling - building and using surrogate models that can approximate results from more complicated simulation models - is an interesting approach to analyze results from complicated, computationally expensive simulation models. Metamodels are useful because they can yield good approximations of the original simulation model response variables using less computational ...

This is part 1 of a series of posts in which I will explore the utility of using metamodels to make sense of (and possibly optimizing) simulation models. If you used simulation modeling on a real project, you might be familiar with this fictional story: You spent long hours building and ...

Arena Simulation is a well-known Discrete Event Simulation Software. However, if you are a power user you might want to extend your analysis beyond what Arena’s Process Analyzer offers. In this tutorial, I’ll guide you through the main functions of Arena2R package. If you’re not an ...