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Abstract
In this paper we consider the problem of estimating the number of nonconformances remaining in outgoing lots after acceptance sampling with rectification when inspection errors can occur. We show that inspection errors can have a serious biasing effect on the predictor that Greenberg and Stokes (1992) propose for the number of undetected nonconformances. We develop a new bias-corrected predictor of this quantity. A simulation study shows that this predictor performs well with respect to mean square error under a wide range of scenarios. We also propose a predictor for the number of conforming items rejected.
Additional information
Notes on contributors
Michael T. Anderson
Mr. Anderson is a Doctoral candidate in the Department of Management Science and Information Systems and an Instructor in the Division of Mathematics and Statistics at the University of Texas at San Antonio. He is a Member of ASQ. His email address is [email protected].
Betsy S. Greenberg
Dr. Greenberg is an Associate Professor in the Department of Management Science and Information Systems. Her email address is [email protected].
S. Lynne Stokes
Dr. Stokes is a Professor in the Department of Statistical Sciences. Her email address is [email protected].
