Assessing design quality during product development

被引：0
|
作者：
Berezowitz, WA [1 ]
Chang, TH [1 ]
机构：
[1] GE, Med Syst, Qual & Proc, Milwaukee, WI 53201 USA
来源：
ASQC'S 51ST ANNUAL QUALITY CONGRESS PROCEEDINGS | 1997年
关键词：
Bayesian statistics; process potential; tolerance intervals; upstream quality improvement;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Presents a framework to incorporate statistical thinking into product development for improving upstream quality and reducing development time. Method applies classical Bayesian statistics for sampling efficiency to accelerate development, the sequential nature incorporates design modifications interactively at each iteration, and its common-sense logic allows engineers to feel at ease with statistics.
引用
收藏
页码：907 / 917
页数：11
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