• DocumentCode
    2073090
  • Title

    Performance Prediction of Rolling Coil Based on Data Warehouse

  • Author

    Zhao, Xiang-Dong ; Zhang, Hao ; Lu, Jian-Feng

  • Author_Institution
    CIMS Res. Center, Tongji Univ., Shanghai, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The inspection process of rolling coil wastes time and increases cost of enterprise. The enterprise is eager to find a prediction analysis method which can predict performance of rolling coil by some of relative data. Data Warehouse provide plenty of data for performance prediction. Because productive process is complicated, the statistical analysis method and the traditional machine learning method have some limitations in the application in this field. This paper reviews the construction of data warehouse and use support vector machine to solve the prediction problem. It is proved that by using the support vector machine, the enterprise´s requirement can be met, and it can improve efficiency of production.
  • Keywords
    data warehouses; learning (artificial intelligence); quality control; statistical analysis; support vector machines; data warehouse; enterprise; machine learning method; performance prediction; prediction analysis method; rolling coil; statistical analysis method; support vector machine; Coils; Computer integrated manufacturing; Costs; Data warehouses; Inspection; Learning systems; Performance analysis; Predictive models; Statistical analysis; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5301042
  • Filename
    5301042