Aerospace Transformation through Industry 4.0 Technologies

Carou, Diego

doi:10.1007/978-3-030-67849-4_3

Cited by 9 publications

(4 citation statements)

References 148 publications

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“…It has also been argued that we are advancing towards a new paradigm where environmental sustainability will be a central factor ( Carou, 2021 ). However, the extent of this shift will be conditioned by the role of all of the stakeholders in the value chain, mainly manufacturers, airlines, flyers and regulators.…”

Section: Discussionmentioning

confidence: 99%

The impact of the COVID-19 crisis on the US airline market: Are current business models equipped for upcoming changes in the air transport sector?

Fontanet-Pérez

Vázquez

Carou

2022

Case Studies on Transport Policy

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Section: Discussionmentioning

confidence: 99%

The impact of the COVID-19 crisis on the US airline market: Are current business models equipped for upcoming changes in the air transport sector?

Fontanet-Pérez

Vázquez

Carou

2022

Case Studies on Transport Policy

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“…A book on Industry 4.0 and Aviation [94] discussed some key challenges for enabling IoT-driven solutions in the aerospace industry. It discussed the maintenance and training costs for manufacturing professionals, as well as the product lifecycle management of IoT products.…”

Section: Challenges and Opportunities In Iot Implementation In The Ae...mentioning

confidence: 99%

Applications of Internet of Things (IoT) in the Aerospace Industry

Jain,

Seth,

Singh

et al. 2024

Int. J. Res. Publ. Rev.

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As we transition to a technology-driven age, it is essential for us to understand the various technologies working behind it, across various industries. The aerospace industry is one such industry that has been massively impacted by the new-age technologies. This study aimed to explore the implementation of one such technology -Internet of Things (IoT) in the Aerospace industry. The study adopted a qualitative, secondary research design which fetched data from published sources (books, news snippets, publications, industry, and company reports) to conduct a thematic and comparative analysis of IoT implementation in the Aerospace industry. The thematic analysis segmented various applications of IoT across 7 segments -Supply Chain, Aero-Manufacturing, ITeS, Research and Development, Avionics, Aero-Operations and MRO (Maintenance, Repair and Overhaul). The comparative analysis studied the variation in applications across the two major sub-industries -Aeronautics and Astronautics. The research conclusively determined the plethora of IoT implementation happening across the segments and sub-industries, while also exploring its challenges and future opportunities.

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“…Com o nível certo de maturidade do algoritmo desenvolvid,o a máquina pode se tornar inteligente ao ponto de gerar dados para mapear e auxiliar pesquisas na área da manutenção inteligente [10]. Entretanto, as aplicações de machine learning não se limitam à manutenção preditiva: outro grande ramo que ganha destaque na indústria 4.0 é a tecnologia de manufatura aditiva, em que, a partir de um modelo 3D, pode ser realizada a produção de peças, transformando o desenho à medida que a matéria prima é adicionada, camada por camada [11].…”

Section: Indústria 40unclassified

Aplicações de Machine Learning no Contexto da Engenharia Mecânica: Uma Revisão Exploratória na literatura com uso de Text Mining

Luiz Marques Junior,

Adamczuk Oliveira,

Noriyuki Rubio Maehashi

2023

Anais Do International Conference on Production Research Americas

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Resumo.Com o avanço tecnológico provido pela implementação da indústria 4.0 aplicações de machine learning se tornaram cada vez mais necessárias no contexto da engenharia mecânica. Com a modernização da indústria surgiram novos problemas onde era necessário gerir um grande volume de dados que eram gerados pelas máquinas e sensores. Afim de resolver problemas de gestão causado pelo grande volume de dados foram desenvolvidos algoritmos visuais nos quais a análise de dados se torna uma tarefa menos árdua. A partir de plataformas de programação visual se pode realizar o gerenciamento dos dados facilitando o trabalho do engenheiro nas diversas áreas de atuação como a manutenção, fabricação, projeto e gestão. Nesse sentido a ferramenta citada foi utilizada para realizar uma revisão exploratória da literatura, sobre as aplicações de machine learning para Engenharia Mecânica. Os dados utilizados foram obtidos das plataformas Capes e scopus e com o auxílio de um workflow do Orange Datamining no módulo de text mining.

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Aerospace Transformation through Industry 4.0 Technologies

Cited by 9 publications

References 148 publications

The impact of the COVID-19 crisis on the US airline market: Are current business models equipped for upcoming changes in the air transport sector?

The impact of the COVID-19 crisis on the US airline market: Are current business models equipped for upcoming changes in the air transport sector?

Applications of Internet of Things (IoT) in the Aerospace Industry

Aplicações de Machine Learning no Contexto da Engenharia Mecânica: Uma Revisão Exploratória na literatura com uso de Text Mining

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