Teaching to seasoned managers in MBE classes is challenging. While it’s important to bring new thoughts and ideas and not sound repetitive, it is necessary to provide a theoretical basis for experienced people with diverse backgrounds.
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.
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:
Este arquivo foi utilizado como arquivo de apoio à aulas ministradas sobre previsão de demanda utilizando o R. Para um tramento mais aprofundado sobre o tema, recorrer ao excelente livro Forecating: Principles and Practice.
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.
Este post corresponde aos slides do Mini-Curso “Introdução ao R - Aprendendo com o Moneyball”, realizado em 2017 no SIGEPRO. Cada um dos títulos neste post correspondia a um slide.