Title :
Quality Rules Optimization for Manufacturing Process Based on Rough Theory
Author :
Hu Lizhi ; Zhao Jiali ; Liang Jiaohu
Author_Institution :
Lanzhou Univ. of Technol., Lanzhou, China
Abstract :
The analysis and improvement of product quality was not accurate for the incomplete and uncertain of data in manufacturing process. To get the optimizable improve rules of product quality, rough theory has been adopted to analyze the manufacturing process. Firstly, the quality decision table has been presented. Then the incomplete information have been disposed based on the Similar Relation and proposed the method for getting the optimizable quality rules. Finally, a knuckle pivot manufacturing process is provided to verify the effectiveness of the proposed method.
Keywords :
manufacturing processes; optimisation; quality management; rough set theory; knuckle pivot manufacturing process; product quality; quality decision table; quality rules optimization; rough theory; similar relation; Automation; Manufacturing processes; Mechatronics; Manufacturing Process; Quality Decision Table; Quality Rule; Rough Theory;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.150
