The Computation of the Unrestricted AOQL When Defective Material is Removed but Not Replaced

Allen C. Endres

8 citations0/0 files storedJournal of the American Statistical Association

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Advanced Statistical Process Monitoring Probability and Statistical Research Management and Optimization Techniques

Abstract

The choice of a Dodge-Type continuous sampling plan is usually based upon the requirement of a maximum limit on the expected fraction of accepted defective material (AOQL). This limit is contingent upon the process producing the material being in “a state of statistical control”. White (1966) has provided a method by which a corresponding limit (UAOQL) can be obtained without the assumption that the process in statistical control. White assumed that all defective items were replaced by good items. This paper presents a method for calculating UAOQL's when defective items are removed but not replaced by good units.

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1965Markovian Decision Models for the Evaluation of a Large Class of Continuous Sampling Inspection Plans

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2005Continuous Sampling Plans

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