DocumentCode
3306401
Title
Study of prevention mechanism in process control
Author
Hong Chen
Author_Institution
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fYear
2012
fDate
3-5 Oct. 2012
Firstpage
442
Lastpage
445
Abstract
The product is built by manufacturing process or working process. In order to get the maximum output with best quality by minimum input and lowest operating costs, the prevention mechanism is proposed to be set up in production. The quality is often studied, however, the prevention mechanism is seldom mentioned or studied further till the issues are found. This paper reports the prevention mechanism with Six Sigma Methodology from the quality management perspective. The key techniques including DMAIC, SPC and MSA are utilized to prevent the unexpected occurrences in the final product. According to the statistical principle, the process capability is checked and the process reliability is evaluated to verify the prevention mechanism. The demonstration on power meter production shows the average failure on line has been decreased 33% and the remedy costs are saved completely after the prevention mechanism in process control is set up.
Keywords
failure analysis; quality control; reliability; six sigma (quality); statistical process control; DMAIC; MSA; SPC; define measure analyze improve control methodology; manufacturing process control; manufacturing process output; measurement system analysis; prevention mechanism; process capability; process reliability; production failure; quality management; six sigma methodology; statistical principles; statistical process control; Control charts; Manufacturing processes; Materials; Process control; Six sigma; Standards; DMAIC; Six sigma methodology; control chart; gauge repeatability and reproducibility; measurement system analysis; statistical process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on
Conference_Location
St. Petersburg
ISSN
2157-0221
Print_ISBN
978-1-4673-2016-0
Type
conf
DOI
10.1109/ICUMT.2012.6459707
Filename
6459707
Link To Document