5G supporting digital servitization in manufacturing: An exploratory survey

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
Chiara Cimini, Alexandra Lagorio, Roberto Pinto, Giuditta Pezzotta, Federico Adrodegari, Sergio Cavalieri
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引用次数: 0

Abstract

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.

Abstract Image

5G支持制造业数字化服务:一项探索性调查
数字服务化是一种商业模式转型过程,通过使用数字技术,通过创造价值和竞争优势,提高客户满意度和忠诚度以及公司收入流,创造或改进工业服务和产品服务。5G网络可以通过在机器、设备和人类之间提供更快、更安全、更可靠的通信,实现制造业的数字化服务。本文探讨了采用5G技术对服务化的影响,并确定了从5G网络中受益最大的服务。这项研究由两部分组成:一部分是对目前用于设计和提供工业服务的技术的文献综述,这些技术可能受益于5G网络,另一部分是涉及已经开始数字服务化之旅的制造公司的探索性调查。研究的主要结果表明,5G可以深刻影响增强现实、云计算和网络物理系统支持的服务,主要涉及维护、员工培训、机器诊断和监控。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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