Assessing a binary measurement system with an underlying continuous measurand using targeted verification. Issue 2 (3rd April 2022)

• Record Type: Journal Article
• Authors: Chen, Sigeng; Steiner, Stefan H.; Mackay, R. Jock; Mulayath Variyath, Asokan
• Is Part Of: Communication in statistics. Volume 8:Issue 2(2022)
• Page Start: 308
• Page End: 330
• Publication Date: 2022-04-03
• Subjects: Analytic method -- gauge R&R -- Go/Nogo gauge -- inspection system; Mathematical statistics -- Data processing -- Periodicals; 519.505
• DOI: 10.1080/23737484.2022.2044411
• Languages: English
• ISSNs: 2373-7484

Abstract

Abstract: Suppose an important continuous quality characteristic with specification x ≥ c is expensive to measure with a gold standard measurement system. A 100% pass/fail inspection scheme uses a binary measurement system such as a no-go gauge to avoid the expensive gold standard measurements. The inspection scheme makes some errors and we are interested in estimating both the probability of passing a bad part and of failing a good part. We assume that the inspection system is not destructive so we can inspect parts multiple times if we so choose. A part is verified if we use the gold standard system to determine if the part is within specification or not. We propose and quantify the benefits of a new cost-effective assessment plan that verifies only a small fraction of the parts selected for the study.