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An Introduction to Regression Analysis on Parameters Selection in Beltline Moulding Process

Author

Listed:
  • Abdul Bon
  • Jean Ogier
  • Ahmad Razali

Abstract

The world of manufacturing industries is forced to meet the demand of the end users in many different aspects especially to reduce the number of defects and production cost. Since then, the manufacturers have many introduced techniques and strategies in order to achieve zero defects for end products. Therefore, this research is an early attempt to introduce 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 we found from the correlation model only three parameters have strong correlation of fourteen parameters were studied. The results are very useful evidence and applicability to beltline moulding manufacturer for implementation.

Suggested Citation

  • Abdul Bon & Jean Ogier & Ahmad Razali, 2008. "An Introduction to Regression Analysis on Parameters Selection in Beltline Moulding Process," Modern Applied Science, Canadian Center of Science and Education, vol. 2(3), pages 1-26, May.
    • Handle: RePEc:ibn:masjnl:v:2:y:2008:i:3:p:26
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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