Assuring Process Quality with a Preset Confidence Probability via Quality-orientedStatistical Tolerancing
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.
process quality statistical tolerance statistical process control
Yu Zhang Musheng Yang Mingxia Liu
School of Mechanical Engineering Shandong University of Technology Zibo, China
国际会议
上海
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)