5G supporting digital servitization in manufacturing: An exploratory survey

Digital servitization is a business model transformation process enabled by the use of digital technologies to create or improve industrial services and product‐service offerings by creating value and competitive advantage increasing customer satisfaction and loyalty as well as company revenue strea...

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Bibliographic Details
Published in:IET collaborative intelligent manufacturing 2023-09, Vol.5 (3), p.n/a
Main Authors: Cimini, Chiara, Lagorio, Alexandra, Pinto, Roberto, Pezzotta, Giuditta, Adrodegari, Federico, Cavalieri, Sergio
Format: Article
Language:English
Subjects:
5G mobile communication
Augmented reality
Business models
Cloud computing
Communication
Customer satisfaction
Customer services
Data analysis
digital servitization
Digital technology
Internet of Things
Literature reviews
Manufacturers
Manufacturing
smart pss
Software
Value creation
wireless communication networks
Wireless networks
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Summary:Digital servitization is a business model transformation process enabled by the use of digital technologies to create or improve industrial services and product‐service offerings by creating value and competitive advantage increasing customer satisfaction and loyalty as well as company revenue streams. 5G networks can enable digital servitization of manufacturing by providing faster, more secure, and more reliable communications between machines, devices, and humans. This paper explores the impact of adopting 5G technologies on servitization and identifies the services that can benefit most from 5G networks. The research consists of two parts: a literature review of the technologies currently used in the design and provision of industrial services that could benefit from 5G networks and an exploratory survey involving manufacturing companies that have started the digital servitization journey. The main results emerging from the research suggest that 5G can profoundly impact services supported by Augmented Reality, Cloud computing, and Cyber‐physical systems, mainly concerning maintenance, workforce training, machine diagnosis and monitoring.
ISSN:2516-8398
2516-8398
DOI:10.1049/cim2.12083