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The contribution of systems science to Industry 4.0

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  • Li Da Xu

Abstract

Industrie 4.0, also called Industry 4.0, represents the current trend of manufacturing industry characterized by high level of automation, industrial integration, and industrial information integration. It mainly includes enabling technologies such as the Internet of Things (IoT), cyber‐physical systems (CPS), cloud computing, industrial integration, industrial information integration, and other technologies. Systems science has been emerged and well developed since the second half of the twentieth century. From 1940s until now, systems science has been called systems science, systems engineering, systems theory, cybernetics, systems analysis, systems methodology, systems approach, and systems thinking. Since its emergence, a wealth of research has produced an astonishing array of theoretical results and empirical insights, and a large suite of methods and techniques. Systems science has been continuously, widely, and successfully applied to many subjects in natural science and social sciences. This paper aims at discussing the potential contribution of systems science to Industry 4.0. As we approach the era of Fourth Industrial Revolution, this paper points out that systems science is a necessity to deal with the overwhelming systems complexity in Industry 4.0 and the surrounding industrial ecosystem.

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  • Li Da Xu, 2020. "The contribution of systems science to Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 618-631, July.
    • Handle: RePEc:bla:srbeha:v:37:y:2020:i:4:p:618-631
    DOI: 10.1002/sres.2705
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    Cited by:

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    3. Roland Zs. Szabo & Iva Vuksanović Herceg & Robert Hanák & Lilla Hortovanyi & Anita Romanová & Marian Mocan & Dragan Djuričin, 2020. "Industry 4.0 Implementation in B2B Companies: Cross-Country Empirical Evidence on Digital Transformation in the CEE Region," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    4. Michal Wisniewski, 2021. "The Role of Integral Model of Critical Infrastructure Safety in Industry 4.0," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 1153-1188.
    5. James, Ajith Tom & Kumar, Girish & Tayal, Pushpal & Chauhan, Ashwin & Wadhawa, Chirag & Panchal, Jasmin, 2022. "Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    6. Teixeira, Josélia Elvira & Tavares-Lehmann, Ana Teresa C.P., 2022. "Industry 4.0 in the European union: Policies and national strategies," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    7. Radosław Drozd & Radosław Wolniak, 2021. "Metrisable assessment of the course of stream-systemic processes in vector form in industry 4.0," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2161-2176, December.
    8. Jianjing Qu & Yanan Zhao & Yongping Xie, 2022. "Artificial intelligence leads the reform of education models," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 581-588, May.

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