Current and future aspects of the digital transformation in the European Steel Industry / Teresa Annunziata Branca in MATERIAUX & TECHNIQUES, Vol. 108, N° 5-6 (2020)  

[article]  inMATERIAUX & TECHNIQUES > Vol. 108, N° 5-6 (2020) . - 10 p. Titre : Current and future aspects of the digital transformation in the European Steel Industry Type de document : texte imprimé Auteurs : Teresa Annunziata Branca, Auteur ; Barbara Fornai, Auteur ; Valentina Colla, Auteur ; Maria Maddalena Murri, Auteur ; Eliana Streppa, Auteur ; Antonius Johannes Schröder, Auteur Année de publication : 2020 Article en page(s) : 10 p. Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Automatisation Industrie 4.0 Le concept d’Industrie 4.0 correspond à une nouvelle façon d’organiser les moyens de production : l’objectif est la mise en place d’usines dites "intelligentes" ("smart factories") capables d’une plus grande adaptabilité dans la production et d’une allocation plus efficace des ressources, ouvrant ainsi la voie à une nouvelle révolution industrielle. Ses bases technologiques sont l'Internet des objets et les systèmes cyber-physiques. Industries sidérurgiques Numérisation Index. décimale : 670.427 Mécanisation, automatisation, robotisation des opérations Résumé : The technological transformation in the European steel industry is driven by digitalization, which has the potential to strongly contribute to improving production efficiency and sustainability. The present paper describes part of the work developed in the early stage of the project entitled “Blueprint ‘New Skills Agenda Steel’: Industry-driven sustainable European Steel Skills Agenda and Strategy (ESSA)”, which is funded by the Erasmus Plus Programme of the European Union. The project aims at achieving an industry driven, sustainable and coordinated blueprint for addressing the economic, digital and technological developments, as well as increasing energy efficiency and environmental demands through continuously update of qualification, knowledge and skill profiles of the workforce. On the one hand, main aspects of the current state of the technological transformation in the steel sector are described through the analysis of the main recent innovation projects and developments. On the other hand, survey results from a dedicated questionnaire addressed to the European steel companies are analyzed, providing an overview on the (planned) technological transformation affecting the steel sector. The existing levels of plant automation and the possible adoption of the new paradigm of Industry 4.0 are discussed, by also considering the possible impact on the workforce. Main results are that the steel industry foresees an implementation of almost all Industry 4.0 technologies not only for competitive but also environmental improvement. Because this is foreseen in an incremental way upskilling of the existing workforce is a precondition, not only because of recruitment difficulties on the employment market but also because the existing qualification and experience of the workplace is necessary to unfold the full potential of digital and green transformation. Note de contenu : - Structure of the questionnaire - Results and discussion : Strategy - Technical aspects - Human resources Référence de l'article : 508 DOI : https://doi.org/10.1051/mattech/2021010 En ligne : https://www.mattech-journal.org/articles/mattech/pdf/2020/05/mt200063.pdf Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=35980 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
22695	-	Périodique	Bibliothèque principale	Documentaires	Disponible

Environment 4.0 : How digitalization and machine learning can improve the environmental footprint of the steel production processes / Valentina Colla in MATERIAUX & TECHNIQUES, Vol. 108, N° 5-6 (2020)  

[article]  inMATERIAUX & TECHNIQUES > Vol. 108, N° 5-6 (2020) . - 11 p. Titre : Environment 4.0 : How digitalization and machine learning can improve the environmental footprint of the steel production processes Type de document : texte imprimé Auteurs : Valentina Colla, Auteur ; Costanzo Pietrosanti, Auteur ; Enrico Malfa, Auteur ; Klaus Peters, Auteur Année de publication : 2020 Article en page(s) : 11 p. Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Environnement -- Etudes d'impact Industrie 4.0 Le concept d’Industrie 4.0 correspond à une nouvelle façon d’organiser les moyens de production : l’objectif est la mise en place d’usines dites "intelligentes" ("smart factories") capables d’une plus grande adaptabilité dans la production et d’une allocation plus efficace des ressources, ouvrant ainsi la voie à une nouvelle révolution industrielle. Ses bases technologiques sont l'Internet des objets et les systèmes cyber-physiques. Industries sidérurgiques Intelligence artificielle Neutralité carbone Numérisation Index. décimale : 670.427 Mécanisation, automatisation, robotisation des opérations Résumé : The concepts of Circular Economy and Industrial Symbiosis are nowadays considered by policy makers a key for the sustainability of the whole European Industry. However, in the era of Industry4.0, this results into an extremely complex scenario requiring new business models and involve the whole value chain, and representing an opportunity as well. Moreover, in order to properly consider the environmental pillar of sustainability, the quality of available information represents a challenge in taking appropriate decisions, considering inhomogeneity of data sources, asynchronous nature of data sampling in terms of clock time and frequency, and different available volumes. In this sense, Big Data techniques and tools are fundamental in order to handle, analyze and process such heterogeneity, to provide a timely and meaningful data and information interpretation for making exploitation of Machine Learning and Artificial Intelligence possible. Handling and fully exploiting the complexity of the current monitoring and automation systems calls for deep exploitation of advanced modelling and simulation techniques to define and develop proper Environmental Decision Support Systems. Such systems are expected to extensively support plant managers and operators in taking better, faster and more focused decisions for improving the environmental footprint of production processes, while preserving optimal product quality and smooth process operation. The paper describes a vision from the steel industry on the way in which the above concepts can be implemented in the steel sector through some application examples aimed at improving socio-economic and environmental sustainability of production cycles. Note de contenu : - A view from the steel sector - Bridging the gap to the vision - Enabling circular economy and industrial symbiosis through digital transformation - Exemplar applications of advanced simulation and machine learning for monitoring and control of the environmental footpring - Digitalization enables CE and IS in steel business : the next steps Référence de l'article : 507 DOI : https://doi.org/10.1051/mattech/2021007 En ligne : https://www.mattech-journal.org/articles/mattech/pdf/2020/05/mt200062.pdf Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=35979 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
22695	-	Périodique	Bibliothèque principale	Documentaires	Disponible

---

1 (1 - 2 / 2)