loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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
Abdul Talib Bon, Universite de La Rochelle, France
Jean Marc Ogier, Universite de La Rochelle, France
Ahmad Mahir Razali, Universiti Kebangsaan Malaysia
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.