Smart Manufacturing Analytics Using Industrial Internet of Things

  • Authors

    • P. K. Iyengar Scientific Computing Researcher, BARC, India. Author

    DOI:

    https://doi.org/10.67228/30715725/IJIARE-2022PII4Y7D

    Published 09-05-2022

  • Smart Manufacturing, Industrial Internet of Things (Iiot), Industry 4.0, Manufacturing Analytics, Artificial Intelligence, Machine Learning, Predictive Maintenance, Cyber-Physical Systems, Edge Computing, Industrial Automation

    Issue

    Vol. 5 No. 2 (2022)

    Section

    Articles

    How to Cite

    [1]
    I. P. K, “Smart Manufacturing Analytics Using Industrial Internet of Things”, IJIARE, vol. 5, no. 2, pp. 01–16, Sep. 2022, doi: 10.67228/30715725/IJIARE-2022PII4Y7D.

  • Abstract

    Smart manufacturing analytics (sma) is a key component of industry 4.0 that combines the industrial internet of things (iiot), artificial intelligence (ai), machine learning (ml), cloud and edge computing, and big data analytics to improve manufacturing processes. It continuously collects and analyzes real-time data from sensors, machines, robots, and production systems to support intelligent decision-making.sma enables predictive maintenance, fault detection, quality control, energy optimization, and production forecasting, leading to higher productivity, reduced downtime, improved product quality, and lower operational costs. By integrating iiot with advanced analytics, smart manufacturing analytics supports the development of intelligent, autonomous, and sustainable manufacturing systems for the next generation of smart factories.

  • References

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