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Implementing Smart Factory of Industrie 4.0: An Outlook

Author

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  • Shiyong Wang
  • Jiafu Wan
  • Di Li
  • Chunhua Zhang

Abstract

With the application of Internet of Things and services to manufacturing, the fourth stage of industrialization, referred to as Industrie 4.0, is believed to be approaching. For Industrie 4.0 to come true, it is essential to implement the horizontal integration of inter-corporation value network, the end-to-end integration of engineering value chain, and the vertical integration of factory inside. In this paper, we focus on the vertical integration to implement flexible and reconfigurable smart factory. We first propose a brief framework that incorporates industrial wireless networks, cloud, and fixed or mobile terminals with smart artifacts such as machines, products, and conveyors. Then, we elaborate the operational mechanism from the perspective of control engineering, that is, the smart artifacts form a self-organized system which is assisted with the feedback and coordination blocks that are implemented on the cloud and based on the big data analytics. In addition, we outline the main technical features and beneficial outcomes and present a detailed design scheme. We conclude that the smart factory of Industrie 4.0 is achievable by extensively applying the existing enabling technologies while actively coping with the technical challenges.

Suggested Citation

  • Shiyong Wang & Jiafu Wan & Di Li & Chunhua Zhang, 2016. "Implementing Smart Factory of Industrie 4.0: An Outlook," International Journal of Distributed Sensor Networks, , vol. 12(1), pages 3159805-315, January.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:1:p:3159805
    DOI: 10.1155/2016/3159805
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    Cited by:

    1. Jamal El Baz & Anass Cherrafi & Abla Chaouni Benabdellah & Kamar Zekhnini & Jean Noel Beka Be Nguema & Ridha Derrouiche, 2023. "Environmental Supply Chain Risk Management for Industry 4.0: A Data Mining Framework and Research Agenda," Post-Print hal-04335003, HAL.
    2. Nitin Singh & Prabin Kumar Panigrahi & Zuopeng Zhang & Sajjad M. Jasimuddin, 2025. "Cyber-physical systems: a bibliometric analysis of literature," Journal of Intelligent Manufacturing, Springer, vol. 36(4), pages 2335-2371, April.
    3. Tobias Reisberger & Philip Reisberger & Lukáš Copuš & Peter Madzík & Lukáš Falát, 2025. "The Linkage Between Digital Transformation and Organizational Culture: Novel Machine Learning Literature Review Based on Latent Dirichlet Allocation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 2082-2118, March.
    4. Julian Tiedtke, 2025. "Automation, Firm Size and Skill Groups," LEM Papers Series 2025/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Cagno, Enrico & Accordini, Davide & Thollander, Patrik & Andrei, Mariana & Hasan, A S M Monjurul & Pessina, Sonia & Trianni, Andrea, 2025. "Energy management and industry 4.0: Analysis of the enabling effects of digitalization on the implementation of energy management practices," Applied Energy, Elsevier, vol. 390(C).
    6. Vaibhav S. Narwane & Rakesh D. Raut & Sachin Kumar Mangla & Bhaskar B. Gardas & Balkrishna E. Narkhede & Anjali Awasthi & Pragati Priyadarshinee, 2023. "Mediating role of cloud of things in improving performance of small and medium enterprises in the Indian context," Annals of Operations Research, Springer, vol. 329(1), pages 69-98, October.
    7. Yang Lu, 2025. "The Current Status and Developing Trends of Industry 4.0: a Review," Information Systems Frontiers, Springer, vol. 27(1), pages 215-234, February.
    8. Baotong Chen & Lei Wang & Shujun Yu & Jiafu Wan & Xuhui Xia, 2024. "Equipment electrocardiogram (EECG): making intelligent production line more robust," Journal of Intelligent Manufacturing, Springer, vol. 35(6), pages 2867-2886, August.

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