By Topic

Development of MES-based Real Time Statistical Process Quality Monitoring System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Shusong Yu ; Inst. of Inf. Eng., Ocean Univ. of China, Qingdao ; Jitao Fang ; Shuo Shi ; Haibin Li

This system helps in collecting statistical data and thereafter analyzes the enormous volume of data and aids in making quality related decisions. In contrary to conventional SPC applications where the analyzed results have to be interpreted by quality control specialists, MES based unmanned manufacturing environments require automation of the interpretation process. The developed monitoring system helps in selecting and designing control charts based on various cost, rule or heuristics models. The system also provides interpretation expertise by configuring and applying various rule sets. On violation of these rules, signals are generated by the system and the expert system advices for appropriate remedial actions. Thus the system can significantly increase the product quality and economic efficiency of enterprises.

Published in:

Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on

Date of Conference:

21-22 Dec. 2008