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Abstract
Assessing measurement systems is a necessary task in all industrial contexts. While a great deal has been written about assessing measurement systems that yield continuous outputs, little work addresses binary measurement systems despite their widespread use. This article proposes two new plans for assessing a binary measurement system that are applicable when we can assume the pass rate of the system is known. This assumption is often reasonable when we need to assess a system used for 100% inspection in a production process. The plans provide estimates of the misclassification rates as well as the proportion of conforming items produced. The two methods are compared to existing plans.
Additional information
Notes on contributors
Oana Danila
Ms. Danila is a PhD Student in the Department of Statistics and Actuarial Science. Her email address is [email protected].
Stefan H. Steiner
Dr. Steiner is an Associate Professor in the Department of Statistics and Actuarial Science and Director of the Business and Industrial Statistics Research Group. He is a senior member of ASQ. His email address is [email protected].
R. Jock MacKay
Dr. MacKay is an Associate Professor in the Department of Statistics and Actuarial Science. He is a member of ASQ. His email address is [email protected].
