Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Emiliano Traini"'
Publikováno v:
Sensors, Vol 24, Iss 2, p 594 (2024)
Digital twins are considered the next step in IoT-based cyber–physical systems; they allow for the real-time monitoring of assets, and they provide a comprehensive understanding of a system behavior, allowing for data-driven insights and informed c
Externí odkaz:
https://doaj.org/article/cf0516b2a619436c828418e1a2b48ad5
Autor:
Francesco Serio, Emiliano Traini, Julia Barret, Frederic Parisot, Paolo Chiabert, Fréderic Segonds
Publikováno v:
Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies ISBN: 9783031251818
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f871470243934c20b4d3b36cc5a8e309
https://doi.org/10.1007/978-3-031-25182-5_3
https://doi.org/10.1007/978-3-031-25182-5_3
Publikováno v:
Procedia CIRP. 99:116-121
The ecosystem of the Industry 4.0 involves many new technologies, such as autonomous mobile robots (AMR) and cobots (collaborative robots), these are characterized with higher flexibility and cost effectiveness which makes them more suitable for auto
Publikováno v:
IFAC-PapersOnLine. 54:116-121
Publikováno v:
Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations ISBN: 9783030943981
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3eb77ac2c33a3b7c1a99dcd7386d325
https://hdl.handle.net/11583/2970844
https://hdl.handle.net/11583/2970844
Autor:
Luigi Panza, Giulia Bruno, Manuela De Maddis, Franco Lombardi, Pasquale Russo Spena, Emiliano Traini
Publikováno v:
Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations ISBN: 9783030943349
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de863241e1d83e59559aa9f515a01c4e
http://hdl.handle.net/11583/2961464
http://hdl.handle.net/11583/2961464
Publikováno v:
IFAC-PapersOnLine. 52:24-29
Automation systems to support warehouse activities are a topic largely debated. Critical decisions on the technology to be adopted and the basic system attributes must be taken in the design phase; to support designers, several methodologies have bee
Publikováno v:
IFAC-PapersOnLine. 52:177-182
In the Industry 4.0 era, artificial intelligence is transforming the manufacturing industry. With the advent of Internet of Things (IoT) and machine learning methods, manufacturing systems are able to monitor physical processes and make smart decisio
In past decades, production has been characterized by the mass customization trend. This concept reaches its extreme with the one-of-a-kind production (OKP): every product is different for each customer. In order to develop unique product and complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97bf21a2f2dcd6128ba3ce322739c3b2
https://doi.org/10.4018/978-1-7998-5879-9.ch003
https://doi.org/10.4018/978-1-7998-5879-9.ch003
Publikováno v:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859138
The maintenance process is crucial in any system that is prone to failure or degradation, particularly in manufacturing operations. In fact, maintenance costs can reach up to 40% of the cost of production in certain industries. In the era of Industry
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e256c1c37e9267453d160f2ffe6f963f
https://doi.org/10.1007/978-3-030-85914-5_57
https://doi.org/10.1007/978-3-030-85914-5_57