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
Link To Document :
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