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A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision

In the last decade, the growth of the automotive market with the aid of technologies has been notable for the economic, automotive and technological sectors. Alongside this growing recognition, the so called Internet of Intelligent Vehicles (IoIV) emerges as an evolution of the Internet of Things (I...

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Autores principales: Silva, Marianne, Vieira, Elton, Signoretti, Gabriel, Silva, Ivanovitch, Silva, Diego, Ferrari, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211003/
https://www.ncbi.nlm.nih.gov/pubmed/30275360
http://dx.doi.org/10.3390/s18103298
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author Silva, Marianne
Vieira, Elton
Signoretti, Gabriel
Silva, Ivanovitch
Silva, Diego
Ferrari, Paolo
author_facet Silva, Marianne
Vieira, Elton
Signoretti, Gabriel
Silva, Ivanovitch
Silva, Diego
Ferrari, Paolo
author_sort Silva, Marianne
collection PubMed
description In the last decade, the growth of the automotive market with the aid of technologies has been notable for the economic, automotive and technological sectors. Alongside this growing recognition, the so called Internet of Intelligent Vehicles (IoIV) emerges as an evolution of the Internet of Things (IoT) applied to the automotive sector. Closely related to IoIV, emerges the concept of Industrial Internet of Things (IIoT), which is the current revolution seen in industrial automation. IIoT, in its turn, relates to the concept of Industry 4.0, that is used to represent the current Industrial Revolution. This revolution, however, involves different areas: from manufacturing to healthcare. The Industry 4.0 can create value during the entire product lifecycle, promoting customer feedback, that is, having information about the product history throughout it is life. In this way, the automatic communication between vehicle and factory was facilitated, allowing the accomplishment of different analysis regarding vehicles, such as the identification of a behavioral pattern through historical driver usage, fuel consumption, maintenance indicators, so on. Thus, allowing the prevention of critical issues and undesired behaviors, since the automakers lose contact with the vehicle after the purchase. Therefore, this paper aims to propose a customer feedback platform for vehicle manufacturing in Industry 4.0 context, capable of collecting and analyzing, through an OBD-II (On-Board Diagnostics) scanner, the sensors available by vehicles, with the purpose of assisting in the management, prevention, and mitigation of different vehicular problems. An intercontinental evaluation conducted between Brazil and Italy locations shown the feasibility of platform and the potential to use in order to improve the vehicle manufacturing process.
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spelling pubmed-62110032018-11-02 A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision Silva, Marianne Vieira, Elton Signoretti, Gabriel Silva, Ivanovitch Silva, Diego Ferrari, Paolo Sensors (Basel) Article In the last decade, the growth of the automotive market with the aid of technologies has been notable for the economic, automotive and technological sectors. Alongside this growing recognition, the so called Internet of Intelligent Vehicles (IoIV) emerges as an evolution of the Internet of Things (IoT) applied to the automotive sector. Closely related to IoIV, emerges the concept of Industrial Internet of Things (IIoT), which is the current revolution seen in industrial automation. IIoT, in its turn, relates to the concept of Industry 4.0, that is used to represent the current Industrial Revolution. This revolution, however, involves different areas: from manufacturing to healthcare. The Industry 4.0 can create value during the entire product lifecycle, promoting customer feedback, that is, having information about the product history throughout it is life. In this way, the automatic communication between vehicle and factory was facilitated, allowing the accomplishment of different analysis regarding vehicles, such as the identification of a behavioral pattern through historical driver usage, fuel consumption, maintenance indicators, so on. Thus, allowing the prevention of critical issues and undesired behaviors, since the automakers lose contact with the vehicle after the purchase. Therefore, this paper aims to propose a customer feedback platform for vehicle manufacturing in Industry 4.0 context, capable of collecting and analyzing, through an OBD-II (On-Board Diagnostics) scanner, the sensors available by vehicles, with the purpose of assisting in the management, prevention, and mitigation of different vehicular problems. An intercontinental evaluation conducted between Brazil and Italy locations shown the feasibility of platform and the potential to use in order to improve the vehicle manufacturing process. MDPI 2018-10-01 /pmc/articles/PMC6211003/ /pubmed/30275360 http://dx.doi.org/10.3390/s18103298 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Silva, Marianne
Vieira, Elton
Signoretti, Gabriel
Silva, Ivanovitch
Silva, Diego
Ferrari, Paolo
A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision
title A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision
title_full A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision
title_fullStr A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision
title_full_unstemmed A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision
title_short A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision
title_sort customer feedback platform for vehicle manufacturing compliant with industry 4.0 vision
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211003/
https://www.ncbi.nlm.nih.gov/pubmed/30275360
http://dx.doi.org/10.3390/s18103298
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