Title :
Assuring Process Quality with a Preset Confidence Probability via Quality-Oriented Statistical Tolerancing
Author :
Zhang, Yu ; Yang, Musheng ; Liu, Mingxia
Author_Institution :
Sch. of Mech. Eng., Shandong Univ. of Technol., Zibo
Abstract :
The statistical tolerancing models and design approach for assuring a preset process quality target are presented. A set of standardized process quality indices (PQIs) is introduced for meeting the measurement and evaluation to process yield, process centering and quality loss. Quality-oriented statistical tolerancing technique is introduced to concurrent design for assuring process target. The comprehensive application of this new approach is shown by a case study. The main advantages of this new approach are that PQIs can be assured with a desired confidence probability under four different cases. Process quality, statistical tolerances (STs) and SPC parameters can be concurrently designed, coordinated planned and quantitively analyzed.
Keywords :
quality assurance; statistical process control; tolerance analysis; concurrent design; preset confidence probability; process centering; process quality indices; process quality target; process yield; quality loss; quality-oriented statistical tolerancing; Concurrent engineering; Decision making; Design methodology; Loss measurement; Mechanical engineering; Probability; Process control; Process design; Sampling methods; Sociotechnical systems;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.1287
