Details
Name
Hélio Cristiano CastroRole
Senior ResearcherSince
18th November 2020
Nationality
PortugalCentre
Enterprise Systems EngineeringContacts
+351222094398
helio.c.castro@inesctec.pt
2024
Authors
Castro H.; Câmara F.; Câmara E.; Ávila P.;
Publication
Lecture Notes in Mechanical Engineering
Abstract
The digitalization and evolution of information technologies within the industry 4.0 have allowed the creation of the virtual model of the production system, called Digital Twin, with the capacity to simulate different scenarios, providing support for better decision-making. This tool not only represents a virtual copy of the physical world that obtains information about the state of the value chain but also illustrates a system capable of changing the development of productive activity towards personalized production, extending product versatility. Decentralized production seeks to respond to these needs because it allows the agglomeration of several services with different geographic locations, promoting the sharing of resources. This paper proposes an architecture for the development of a digital platform of personalization and decentralization of production based on sharing of sustainable resources. With a single tool, it is possible to define the entire production line for a product.
2024
Authors
Castro H.; Câmara E.; Câmara F.; Ávila P.;
Publication
Lecture Notes in Mechanical Engineering
Abstract
Industry 4.0 brought modernization to the productive system through the network integration of the constituent entities that, combined with the evolution of information technologies, allowed an increase in productivity, product quality, production cost optimization, and product customization to customer needs. In this paper a model was created using the open-source tool Knime that, based on a set of data provided by Bosch, parameterized the model with several pre-processing techniques, resource selection, and minimization of over-fitting, allowing the development of a final improved model for internal product failure prediction at Bosch production line. The study shows that model efficiency improved with the application of resource selection and reduction techniques, with Logistic Regression and PCA resource selection techniques standing out, obtaining a Recall of 100% and precision and accuracy, both with 99.43%.
2024
Authors
Martins, FF; Castro, H; Smitková, M; Felgueiras, C; Caetano, N;
Publication
SUSTAINABILITY
Abstract
Energy and materials are increasingly important in industrialized countries, and they impact the economy, sustainability, and people's future. The purpose of this work was to study the relationship between energy and the circular economy using methods such as Pearson's correlation and a principal component analysis. Thus, 12 strong correlations were found, with 5 of them between the following relevant variables from two different subjects: the correlations of the raw material consumption, the domestic material consumption, and the material import dependency with the final energy consumption in transport (0.81, 0.92, and 0.81); the correlation of the circular material use rate with the final energy consumption in households (0.70); and the correlation of the material import dependency with the final energy consumption in industry (0.89). The time series forecast was only conclusive for the waste generated, showing that it will increase in the next 10 years.
2022
Authors
Varela, L; Avila, P; Castro, H; Putnik, GD; Fonseca, LMC; Ferreira, L;
Publication
SUSTAINABILITY
Abstract
2022
Authors
Marchisotti, G; Rodrigues, J; Franca, S; Toledo, R; Castro, H; Alves, C; Putnik, G;
Publication
INTERNATIONAL JOURNAL FOR QUALITY RESEARCH
Abstract
This paper aims to analyze the negative perception about the ability to generate value from a Governance System (GS). A model that would explain the reason for the less positive perception regarding the ability to generate value from the GS of the organizations, from the analysis of the relationship between the constructs Hybridism, GS, Accountability and Perception of Value based on IR, was proposed and validated with structural equation modeling (SEM), based on 658 responses from professionals of Brazilian organizations from the public, private and non-profit sectors. It is suggested that conflicts related to organizational hybridism negatively influence the results orientation of the GS, which in turn influences the imbalance of its Accountability. As a result of the GS's loss of results orientation, and considering the IR capitals in the disclosure of results, there is a negative perception of the GS's ability to add value to the results.
Supervised Thesis
2023
Author
FRANCISCA ISABEL MARTINS MADUREIRA
Institution
IPP-ISEP
2023
Author
ANA RITA MARQUES DOS SANTOS
Institution
IPP-ISEP
2023
Author
BRUNO EDUARDO FERRAZ DE SOUSA
Institution
IPP-ISEP
2023
Author
EDUARDO FERNANDO GONÇALVES OSÓRIO BIANCHI DA CÂMARA
Institution
IPP-ISEP
2023
Author
FERNANDO JOSÉ GONÇALVES OSÓRIO BIANCHI DA CÂMARA
Institution
IPP-ISEP
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.