Cyber-physical systems: a bibliometric analysis of literature

IF 5.9 2区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Nitin Singh, Prabin Kumar Panigrahi, Zuopeng Zhang, Sajjad M. Jasimuddin
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Abstract

Recently, there is a significant growth in the use of the Cyber-Physical System (CPS). New technologies such as Internet of Things (IoT), Industry 4.0, and Analytics have become enablers of CPS implementation. Study of the development and application of CPS in the supply chain context is valuable to operations management and information systems research and practice; especially, a focus on IoT-enabled CPS in production/manufacturing is highly relevant. Knowledge about the research trends of the development and use of CPS for supply chain management supported by new innovations in IT is very limited in the extant literature. The aim of this research is to investigate the research trends of applying CPS in manufacturing. The study encompasses a scientometric analysis of research on deploying the CPS in production systems. Based on a systematic selection process, we collect a total of 245 articles from the Web of Science (WoS) database as the sample for analysis. Using appropriate software, we conduct bibliometric analyses of the sample articles that include citation, cocitation analysis, centrality co-occurrence analysis, and co-authorship analysis. From the bibliometric analysis, we discover major themes of CPS in manufacturing and their evolutions in the extant literature.

Abstract Image

网络物理系统:文献计量分析
最近,网络物理系统(CPS)的使用有了显著增长。物联网(IoT)、工业 4.0 和分析等新技术已成为实施 CPS 的推动力。在供应链背景下研究 CPS 的发展和应用对运营管理和信息系统的研究与实践具有重要价值;特别是,关注生产/制造中物联网支持的 CPS 具有高度相关性。在现有文献中,有关在新的信息技术创新支持下开发和使用供应链管理 CPS 的研究趋势的知识非常有限。本研究的目的是调查在制造业中应用 CPS 的研究趋势。本研究对生产系统中部署 CPS 的研究进行了科学计量分析。通过系统筛选,我们从科学网(WoS)数据库中收集了 245 篇文章作为分析样本。利用适当的软件,我们对样本文章进行了文献计量分析,包括引文分析、共引分析、中心共现分析和合著分析。通过文献计量分析,我们发现了制造业中 CPS 的主要主题及其在现有文献中的演变。
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来源期刊
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing 工程技术-工程:制造
CiteScore
19.30
自引率
9.60%
发文量
171
审稿时长
5.2 months
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
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