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Journal ArticleDOI: 10.1142/S2424862221500135

Significant Applications of Big Data in Industry 4.0

04 Mar 2021-Vol. 06, Iss: 04, pp 429-447
Abstract: Industry 40 is being implemented with the help of advanced technologies Big data, Artificial Intelligence (AI), Robotics, Internet of Things (IoT), Cloud computing, and 3D printing are the major

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Topics: Industry 4.0 (65%), Big data (56%), Cloud computing (56%)

5 results found

Journal ArticleDOI: 10.1016/J.JII.2021.100257
Abstract: Industry 5.0 is regarded as the next industrial evolution, its objective is to leverage the creativity of human experts in collaboration with efficient, intelligent and accurate machines, in order to obtain resource-efficient and user-preferred manufacturing solutions compared to Industry 4.0. Numerous promising technologies and applications are expected to assist Industry 5.0 in order to increase production and deliver customized products in a spontaneous manner. To provide a very first discussion of Industry 5.0, in this paper, we aim to provide a survey-based tutorial on potential applications and supporting technologies of Industry 5.0. We first introduce several new concepts and definitions of Industry 5.0 from the perspective of different industry practitioners and researchers. We then elaborately discuss the potential applications of Industry 5.0, such as intelligent healthcare, cloud manufacturing, supply chain management and manufacturing production. Subsequently, we discuss about some supporting technologies for Industry 5.0, such as edge computing, digital twins, collaborative robots, Internet of every things, blockchain, and 6G and beyond networks. Finally, we highlight several research challenges and open issues that should be further developed to realize Industry 5.0.

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Topics: Cloud manufacturing (59%), Edge computing (51%)

7 Citations

Journal ArticleDOI: 10.1016/J.MATPR.2021.02.147
Mohd Azeem1, Abid Haleem1, Shashi Bahl2, Mohd Javaid1  +2 moreInstitutions (3)
Abstract: Growing population and depleting resources are forcing the manufacturers to become more competent and sustainable. Customers are becoming more and more informed about the product they consume, and therefore, manufacturers need to be flexible and open to new changes taking place. Big Data Analytics (BDA) is one such technology that has transformed the manufacturing sector. Organizations have now become more flexible with regards to their processes and, at the same time, have also improved their product quality. Here in this paper, we have analyzed various advantages of Big Data that manufacturing organizations can exploit for their betterment. We have also discussed examples of certain leading manufacturers and how they can lead to big data-enabled manufacturing. Lastly, we discuss certain shortcomings that need to be addressed to make big data analytics viable for organizations of all sorts and not just for top manufacturers.

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Topics: Big data (55%), Manufacturing (53%), Population (52%) ... read more

6 Citations

Journal ArticleDOI: 10.1007/S10796-021-10153-5
Caiming Zhang1, Yong Chen2, Hong Chen3, Dazhi Chong4Institutions (4)
Abstract: Triggered by the development of information and communications technologies, Industry 4.0 opens up a new era for the manufacturing industry.Currently, Industry 4.0 has attracted much attention from industry and academia. Research on Industry 4.0 is still evolving towards the development of frameworks linking Industry 4.0’s enabling technologies to specific goals and to their impact on the manufacturers’ businesses.Accordingly, this study presents a systematic review of the scope of Industry 4.0, its goals and implementations, as well as the barriers to the implementation of Industry 4.0. Solutions for overcoming the barriers and challenges are discussed.

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2 Citations

Journal ArticleDOI: 10.1016/J.JII.2021.100294
Niharika Karnik1, Urvi Bora1, Karan Bhadri1, Prasanna Kadambi1  +1 moreInstitutions (1)
Abstract: Since the first Industrial Revolution the trends in manufacturing have evolved a lot, from mechanical production to the era of smart manufacturing via technologies like Cyber Physical Systems, Internet of Things, Big Data, Cyber Security, Cloud Computing, Additive Manufacturing, Advanced robots, Modelling and Simulation and Augmented Virtual Reality. These technologies are enabling Interoperability and integration of various processes and departments in an organization because of the attribute of real-time inter-connectivity. Due to high inter-connectivity advantages like shorter development time, mass customization and modularity, configurability can be brought into existence. This will not only change the dynamics of the production lines but also add to the profit ratio of an organization by controlling over inventory via virtualization and predictive manufacturing. Due to such attributes of the Industry 4.0 paradigm, understanding them in depth is necessary. Hence, this paper aims to review many such characteristics, enablers, and main drivers of the Industry 4.0 paradigm and ultimately provides insight on the future scopes of each of the main pillars of Industry 4.0.

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Topics: Industry 4.0 (62%), Mass customization (57%), Cyber-physical system (56%) ... read more

1 Citations


135 results found

Journal ArticleDOI: 10.1109/TII.2014.2300753
Li Da Xu1, Wu He2, Shancang Li3Institutions (3)
Abstract: Internet of Things (IoT) has provided a promising opportunity to build powerful industrial systems and applications by leveraging the growing ubiquity of radio-frequency identification (RFID), and wireless, mobile, and sensor devices. A wide range of industrial IoT applications have been developed and deployed in recent years. In an effort to understand the development of IoT in industries, this paper reviews the current research of IoT, key enabling technologies, major IoT applications in industries, and identifies research trends and challenges. A main contribution of this review paper is that it summarizes the current state-of-the-art IoT in industries systematically.

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3,348 Citations

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.

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

2,716 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.

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

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

1,229 Citations

Journal ArticleDOI: 10.1080/00207543.2018.1444806
Li Da Xu1, Eric Xu2, Ling Li1Institutions (2)
Abstract: Rapid advances in industrialisation and informatisation methods have spurred tremendous progress in developing the next generation of manufacturing technology. Today, we are on the cusp of the Fourth Industrial Revolution. In 2013, amongst one of 10 ‘Future Projects’ identified by the German government as part of its High-Tech Strategy 2020 Action Plan, the Industry 4.0 project is considered to be a major endeavour for Germany to establish itself as a leader of integrated industry. In 2014, China’s State Council unveiled their ten-year national plan, Made-in-China 2025, which was designed to transform China from the world’s workshop into a world manufacturing power. Made-in-China 2025 is an initiative to comprehensively upgrade China’s industry including the manufacturing sector. In Industry 4.0 and Made-in-China 2025, many applications require a combination of recently emerging new technologies, which is giving rise to the emergence of Industry 4.0. Such technologies originate from different disciplines ...

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Topics: Industry 4.0 (57%), Industrialisation (54%), Emerging technologies (52%) ... read more

1,086 Citations

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