Effect of Measurement Error and Instrument Bias on Operating Characteristics for Variables Sampling Plans


Owen, D.B.; Chou, Youn-Min   (1983, ASQC)   Southern Methodist University; University of Texas at San Antonio

Journal of Quality Technology    Vol. 15    No. 3
QICID: 5452    July 1983    pp. 107-117
List $10.00
Member $5.00

This article is available for FREE to ASQ members with the appropriate membership type and/or magazine subscriptions. If you are signed-in you should be able to download articles you are entitled to receive. If you have questions about your membership please contact Customer Care at 800-248-1946 or help@asq.org


Article Abstract

The effect of measurement error on the operating characteristics of one-sided (normal distribution) variables sampling plans is discussed. A table showing the effect on the operating characteristic curves for the proportion nonconforming is given in terms of the ratio of the standard deviation of the measuring divide (including the effect of the operator of the device) to the standard deviation of the item being measured, for a properly calibrated measuring instrument. This effect is salutary for the consumer, but unfair to the producer. A similar table is given for the case of a biased instrument which has no measurement error. Here the effect can be either in the consumer's favor or the producer's favor, depending on the direction of the bias. An alternative analysis gives the effect of measurement error and instrument bias on the consumer's and producer's risks for a specified plan. The results of the alternative analysis change from plan to plan, while the first analysis is independent of the plan and the resulting tables apply universally to variables sampling plans based on the normal distribution.


Sampling,Nonconformities,Variables sampling plans

Browse QIC Articles Chronologically:     Previous Article     Next Article

New Search

Featured advertisers

ASQ is a global community of people passionate about quality, who use the tools, their ideas and expertise to make our world work better. ASQ: The Global Voice of Quality.