First Asia International Conference on Modelling & Simulation (AMS'07) Modelling in Manufacturing Industry: Parameters Selection Using Regression Analysis Prince of Songkla University, Phuket, Thailand March 27-March 30 ISBN: 0-7695-2845-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AMS.2007.65
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.
Citation:
Abdul Talib Bon, Jean Marc Ogier, Ahmad Mahir Razali, "Modelling in Manufacturing Industry: Parameters Selection Using Regression Analysis," ams, pp.521-526, First Asia International Conference on Modelling & Simulation (AMS'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||