Kleina M.

Kleina M.
Universidade Federal do Paraná | UFPR · Departamento de Engenharia de Produção

Doctor of Engineering

About

31
Publications
3,396
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82
Citations
Citations since 2017
26 Research Items
81 Citations
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2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
Introduction

Publications

Publications (31)
Article
Full-text available
Purpose: This article aims to show the methods used to optimize layout and tools that have been applied since 2010 in the most diverse production environments. Theoretical Reference: Due to the intense competitiveness and uncertainties in the current market, improving processes and increasing production efficiency by managing the layout of a facili...
Article
Looking for greater returns, the Brazilian investors have increasingly resorted to the stock exchange. In this way, companies classified as Small Cap appear as a great opportunity for significative profitability given the higher volatility. In this scenario, studies aiming to explain the behavior of the stock market are becoming even more important...
Article
Com relação ao tema Big Data, observa-se atualmente uma quantidade significativa e um aumento considerável de publicações relacionadas ao assunto, porém ainda os pesquisadores sentem falta de meios para auxiliar na escolha dos referenciais teóricos. Desta forma, o objetivo deste trabalho é demonstrar um processo utilizado para a seleção das publica...
Article
Full-text available
A indústria 4.0 é uma terminologia muito utilizada nos dias atuais. Dentre as tecnologias que compõem esta nova tendência, tem-se o Big Data, que é um amplo conjunto de dados com um grande número de variáveis, num alto volume e em alta velocidade. O objetivo deste artigo foi realizar uma revisão sistemática da literatura referente aos assuntos atua...
Chapter
3D printing is a technology that has come to revolutionize the way we relate to products. In addition, it also came to streamline production processes in organizations. With the growth of this technology, a great diversity of equipment, materials, components, software, and other inputs related to 3D printing has started to mirror the market in a si...
Article
Full-text available
The machine learning area has recently gained prominence and articial neural networks are among the most popular techniques in this eld. Such techniques have the learning capacity that occurs during an iterative process of model tting. Multilayer perceptron (MLP) is one of the rst networks that emerged and, for thisarchitecture, backpropagation and...
Article
Full-text available
Em um cenário global cada vez mais competitivo para as empresas, é crescente a preocupação com redução de custos operacionais. Assim, a adoção de ferramentas de otimização por empresas é constante, buscando-se melhorias nos processos atuais mediante modelos matemáticos. Este artigo busca avaliar o desempenho de dois algoritmos evolucionários na oti...
Article
Full-text available
Objetivo: Este trabalho teve por finalidade identificar quais são as principais barreiras que dificultam a aplicação da sustentabilidade ambiental nas atividades logísticas da cadeia da construção civil imobiliária da cidade de Curitiba/PR. Metodologia: Foi realizada uma análise de conteúdo na literatura que permitiu a elaboração de um questionário...
Chapter
This book is structured around the assessment of financial and environmental performance in the 3D printing process. In this sense, this chapter’s objective is to demonstrate the application of the methodology presented in the previous chapter through the use of a case study of printing a part with two different types of filaments.
Chapter
The evaluation of financial and environmental performance is important when it comes to supporting decision-making in production processes, regardless of the nature of the process, that is, regardless of whether the process is related to an industrial, commercial, service activity, among others.
Chapter
Three-dimensional printing, commonly known as additive manufacturing, allows the manufacture of a wide range of products. Among various technologies, there is a highlight for fused deposition modeling (FDM) technology, which has the largest share of its parts. Acrylonitrile butadiene styrene (ABS) and polylactic acid (PLA) are the materials mostly...
Article
This book presents the methodology of environmental and financial performance evaluation in 3D printing processes using the MFCA and LCA. This methodology is divided into 7 main steps, which are: a) identification of the analysis problem (for example, comparison of different types of 3D printer for use in a given purpose, comparison of different pr...
Article
Full-text available
Prediction of financial time series is a great challenge for statistical models. In general, the stock market times series present high volatility due to its sensitivity to economic and political factors. Furthermore, recently, the covid-19 pandemic has caused a drastic change in the stock exchange times series. In this challenging context, several...
Article
In this paper, we propose the MulticlusterKDE algorithm applied to classify elements of a database into categories based on their similarity. MulticlusterKDE is centered on the multiple optimization of the kernel density estimator function with multivariate Gaussian kernel. One of the main features of the proposed algorithm is that the number of cl...
Article
Full-text available
With the advancement of various computational techniques and the growing search for assertive predictive models, computational intelligence methods have attracted much attention. They are data-based methodologies and mainly include fuzzy logic, artificial neural networks and evolutionary computation. In the economic environment, more specifically,...
Article
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Technologies for generating energy through fossil fuels have been increasingly being replaced. In this scenario, environmentally friendly innovations have gained space, one of the branches of renewable energy is solar energy that, through photovoltaic panels, converts the irradiation into electricity or heat. Therefore, the objective of this work i...
Article
Full-text available
The aim of this paper is to present the construction of a probabilistic reliability region around rating curves previously defined for different fluviometric stations, in order to consider the uncertainty in obtaining fluviometric discharge values calculated by using these curves. Bayesian models with MCMC sampling algorithms (Monte Carlo Markov Ch...
Article
In this paper, we present an algorithm for clustering based on univariate kernel density estimation, named ClusterKDE. It consists of an iterative procedure that in each step a new cluster is obtained by minimizing a smooth kernel function. Although in our applications we have used the univariate Gaussian kernel, any smooth kernel function can be u...
Article
Full-text available
This research presents a method of identification, tracking and nowcasting of electrical storms based on lightning clustering and spatial/temporal connections of electrical centers detected. During the process, different meteorological variables are calculated and then projected one hour ahead by data extrapolation technique. The validation of the...
Article
Full-text available
Lightning strokes are natural phenomena responsible for a large number of disturbances and interruptions in electrical systems. The investigation of their behavior can support operation strategies and installation and protection projects of power transmission lines. This research scope includes the study of joint development of lightning strokes, i...
Article
Full-text available
This study presents a classifier prediction in groups for the Brazilian Football Championship of both A and B leagues, from the results of the first half of each championship. With assertive predictions of the group where a team will end the championship, strategic planning can be performed in the squad, such as new hiring, specific training for at...

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