Real-time Big Data Processing System to Improve Semiconductor Production Efficiency in Smart Factory

  • Authors

    • Hyeopgeon Lee
    • Young-Woon Kim
    • Ki-Young Kim
    2018-08-29
    https://doi.org/10.14419/ijet.v7i3.33.21021
  • Real-time Big data, Big data Processing System, Smart Factory, Spark, Memory DB
  • Abstract

    Semiconductor production efficiency is closely related to the defect rate in the production process. The temperature and humidity control in the production line are very important because these affect the defect rate. So many smart factory of semiconductor production uses sensor. It is installed in the semiconductor process, which send huge amounts of data per second to a central server to carry out temperature and humidity control in each production line. However, big data processing systems that analyze and process large-scale data are subject to frequent delays in processing, and transmitted data are lost owing to bottlenecks and insufficient memory caused by traffic concentrated in the central server. In this paper, we propose a real-time big data processing system to improve semiconductor production efficiency. The proposed system consists of a production line collection system, task processing system and data storage system, and improves the productivity of the semiconductor manufacturing process by reducing data processing delays as well as data loss and discarded data.

     

     

  • References

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  • How to Cite

    Lee, H., Kim, Y.-W., & Kim, K.-Y. (2018). Real-time Big Data Processing System to Improve Semiconductor Production Efficiency in Smart Factory. International Journal of Engineering & Technology, 7(3.33), 243-247. https://doi.org/10.14419/ijet.v7i3.33.21021

    Received date: 2018-10-05

    Accepted date: 2018-10-05

    Published date: 2018-08-29