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Industry 4.0

About: Industry 4.0 is a(n) research topic. Over the lifetime, 5657 publication(s) have been published within this topic receiving 106789 citation(s). more


Journal ArticleDOI: 10.1016/J.MFGLET.2014.12.001
Jay Lee1, Behrad Bagheri1, Hung-An Kao1Institutions (1)
Abstract: Recent advances in manufacturing industry has paved way for a systematical deployment of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space. Moreover, by utilizing advanced information analytics, networked machines will be able to perform more efficiently, collaboratively and resiliently. Such trend is transforming manufacturing industry to the next generation, namely Industry 4.0. At this early development phase, there is an urgent need for a clear definition of CPS. In this paper, a unified 5-level architecture is proposed as a guideline for implementation of CPS. more

Topics: Cyber-physical system (60%), Industry 4.0 (55%), Analytics (52%)

2,716 Citations

Open accessJournal ArticleDOI: 10.1007/S12599-014-0334-4
Heiner Lasi1, Peter Fettke, Hans-Georg Kemper1, Thomas Feld  +1 moreInstitutions (1)
19 Jun 2014-
Topics: Heavy industry (75%), Industry 4.0 (53%)

1,750 Citations

Proceedings ArticleDOI: 10.1109/HICSS.2016.488
Mario Hermann1, Tobias Pentek2, Boris Otto1Institutions (2)
05 Jan 2016-
Abstract: The increasing integration of the Internet of Everything into the industrial value chain has built the foundation for the next industrial revolution called Industrie 4.0. Although Industrie 4.0 is currently a top priority for many companies, research centers, and universities, a generally accepted understanding of the term does not exist. As a result, discussing the topic on an academic level is difficult, and so is implementing Industrie 4.0 scenarios. Based on a quantitative text analysis and a qualitative literature review, the paper identifies design principles of Industrie 4.0. Taking into account these principles, academics may be enabled to further investigate on the topic, while practitioners may find assistance in identifying appropriate scenarios. A case study illustrates how the identified design principles support practitioners in identifying Industrie 4.0 scenarios. more

Topics: Industry 4.0 (56%)

1,510 Citations

Journal ArticleDOI: 10.1016/J.JII.2017.04.005
Yang Lu1, Yang Lu2Institutions (2)
Abstract: Originally initiated in Germany, Industry 4.0, the fourth industrial revolution, has attracted much attention in recent literatures. It is closely related with the Internet of Things (IoT), Cyber Physical System (CPS), information and communications technology (ICT), Enterprise Architecture (EA), and Enterprise Integration (EI). Despite of the dynamic nature of the research on Industry 4.0, however, a systematic and extensive review of recent research on it is has been unavailable. Accordingly, this paper conducts a comprehensive review on Industry 4.0 and presents an overview of the content, scope, and findings of Industry 4.0 by examining the existing literatures in all of the databases within the Web of Science. Altogether, 88 papers related to Industry 4.0 are grouped into five research categories and reviewed. In addition, this paper outlines the critical issue of the interoperability of Industry 4.0, and proposes a conceptual framework of interoperability regarding Industry 4.0. Challenges and trends for future research on Industry 4.0 are discussed. more

Topics: Industry 4.0 (59%), Enterprise architecture (54%), Enterprise integration (54%) more

1,366 Citations

Open accessJournal ArticleDOI: 10.1016/J.PROCIR.2014.02.001
Jay Lee1, Hung An Kao1, Shanhu Yang1Institutions (1)
01 Jan 2014-Procedia CIRP
Abstract: Today, in an Industry 4.0 factory, machines are connected as a collaborative community. Such evolution requires the utilization of advance- prediction tools, so that data can be systematically processed into information to explain uncertainties, and thereby make more “informed” decisions. Cyber-Physical System-based manufacturing and service innovations are two inevitable trends and challenges for manufacturing industries. This paper addresses the trends of manufacturing service transformation in big data environment, as well as the readiness of smart predictive informatics tools to manage big data, thereby achieving transparency and productivity. more

Topics: Big data (58%), Analytics (57%), Industry 4.0 (55%) more

1,229 Citations

No. of papers in the topic in previous years

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Topic's top 5 most impactful authors

Danil Zakoldaev

29 papers, 52 citations

I. O. Zharinov

29 papers, 52 citations

A. V. Shukalov

18 papers, 30 citations

Julian M. Müller

17 papers, 1.2K citations

Thorsten Wuest

10 papers, 153 citations

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