• DocumentCode
    2297766
  • Title

    Modelling in Manufacturing Industry: Parameters Selection Using Regression Analysis

  • Author

    Bon, Abdul Talib ; Ogier, Jean Marc ; Razali, Ahmad Mahir

  • Author_Institution
    Dept. Informatique - Laboratorie L3i, Univ. de La Rochelle
  • fYear
    2007
  • fDate
    27-30 March 2007
  • Firstpage
    521
  • Lastpage
    526
  • Abstract
    The manufacturing industries are forced to meet the demand of the end users in many different aspects especially to reduce the number of defects. Since then, the manufacturers have adopted many strategies in order to achieve zero defect end products. Therefore, this research is an early attempt to present a proper method for manufacturers to achieve their goal starting from parameters selection and then optimization to control the belt line moulding production process. We apply regression analysis to make parameters selection and then used the best variables selected to optimize or in this case to minimize defects in belt line moulding process. The findings from this study will serve as a useful evidence and applicability of the proposed methodology
  • Keywords
    manufacturing industries; moulding; optimisation; process control; regression analysis; belt line moulding production process control; manufacturing industry; optimization; parameters selection; regression analysis; Automotive engineering; Belts; Laboratories; Machinery; Manufacturing industries; Manufacturing processes; Mathematical model; Raw materials; Regression analysis; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling & Simulation, 2007. AMS '07. First Asia International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    0-7695-2845-7
  • Type

    conf

  • DOI
    10.1109/AMS.2007.65
  • Filename
    4148714