5G supporting digital servitization in manufacturing: An exploratory survey

IF 2.5 Q2 ENGINEERING, INDUSTRIAL IET Collaborative Intelligent Manufacturing Pub Date : 2023-09-11 DOI:10.1049/cim2.12083
Chiara Cimini, Alexandra Lagorio, Roberto Pinto, Giuditta Pezzotta, Federico Adrodegari, Sergio Cavalieri
{"title":"5G supporting digital servitization in manufacturing: An exploratory survey","authors":"Chiara Cimini,&nbsp;Alexandra Lagorio,&nbsp;Roberto Pinto,&nbsp;Giuditta Pezzotta,&nbsp;Federico Adrodegari,&nbsp;Sergio Cavalieri","doi":"10.1049/cim2.12083","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":33286,"journal":{"name":"IET Collaborative Intelligent Manufacturing","volume":"5 3","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cim2.12083","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Collaborative Intelligent Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cim2.12083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
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

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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).
期刊最新文献
Development of an artificial intelligence model for wire electrical discharge machining of Inconel 625 in biomedical applications Integrated modelling and simulation method of hybrid systems based on X language RETRACTION: A novel method of material demand forecasting for power supply chains in industrial applications A multimodal expert system for the intelligent monitoring and maintenance of transformers enhanced by multimodal language large model fine-tuning and digital twins RETRACTION: Analysis of a building collaborative platform for Industry 4.0 based on Building Information Modelling technology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1