This article presents a literature review of the use of the OR technique of discrete-event
simulation (DES) in conjunction with the big data analytics (BDA) approaches of data …

Discrete event simulation (DES) is a well-established decision support tool in modeling work
flows in manufacturing industry. But, there are an amount of practical and financial obstacles …

The quality of large-scale logistics network simulation highly depends on the estimation of its
key input parameters, which are usually influenced by various factors that are difficult to …

This work shows the potential of the Discrete-Event Simulation-DES-in a software modeling
process applied to business decision making, using a descriptive methodology in a …

In stochastic simulation, input modeling refers to the process of identifying and selecting the
probability distributions, called input models, from which are generated the random variates …

Gaining knowledge from a given data basis is a complex challenge. One of the frequently
used methods in the context of a supply chain (SC) is knowledge discovery in databases …

Due to the rapid advancement of computational power and the Internet of Things (IoT)
together with recent developments in digital-twin and cyber-physical systems, the integration …

Digital twins have gained increasing attention in research and practice. This includes the
use in logistics networks, which are the parts of supply chains focusing on implementing …

The quality of simulation-based experimentation is directly related to the estimation of its key
input parameters. Yet, especially when it comes to innovative transportation concepts that …

Este artigo apresenta um estudo de caso do uso de simulaçao para dimensionar a frota de
caminhoes de uma transportadora de Pedro Leopoldo, Minas Gerais, que após firmar o …