R

Teaching Factory Physics Flow Benchmarking with R and Many-Objective Visuals

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. One of the strategies I found to overcome these obstacles this week was to use a new analysis framework (in my case, Factory Physics concepts) to challenge their views about existing frames they already master.

Discrete Event Simulation (DES) Metamodeling - Splines with R and Arena

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 resources. For an introduction to Metamodeling, refer to (Barton 2015). To my knowledge, no Discrete-Event Simulation (DES) software provides metamodeling capabilities, and guidance on how to actually execute metamodeling is scarce.

Making Sense of Simulation Models with Metamodels Part 1 - Low-Order Polynomials with Arena and R

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 refining your simulation model (eg.: a Discrete Event Model). Hopefully, you are confident that it can yield reliable results.

Previsão de Séries Temporais com o R

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. Este post possui uma apresentação relacionada neste link. Sobre o R O R é um ambiente de computação estatística, com mais de 13 mil pacotes publicados. Cada um destes pacotes tem um fim específico. Neste curso, utilizaremos principalmente as bibliotecas ‘forecast’ e o fpp2.

Arena2R - An R Package for Arena Simulation Users

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 R user, fear not! Arena2R comes with an app you can use to explore your Arena Simulation data. All you’ll have to do is to Install R and R Studio, and run two commands in your R console.

Introdução ao R - Aprendendo com o Moneyball

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. O que Veremos neste Mini-Curso? O que é Data Analytics? Exemplo Moneyball. Como continuar aprendendo. Porque usar o R ? Open Source e Gratuito; Mais de 10 k bibliotecas gratuitas; Suporta muitos tipos de Análises; Conhecimento “cumulativo” e transferível a outros contextos.