ANSI/ASQ Z1.9 (formerly MIL STD 414) uses sample statistics to determine whether a production lot, or incoming lot, should be accepted or rejected. These statistics also allow estimation of the nonconforming fraction at each specification limit. Attendees will learn how to define a sample plan on the basis of (1) the lot size, (2) the inspection level, and (3) the acceptable quality limit (AQL).
WHY SHOULD YOU ATTEND
ANSI/ASQ Z1.9 is a widely recognized and generally accepted standard for acceptance sampling by variables. It uses the average and standard deviation (or range) of a sample of n parts to determine whether the lot from which the sample was drawn should be accepted or rejected.
Sampling by variables (ANSI/ASQ Z1.9) requires a far smaller sample than sampling by attributes (ANSI/ASQ Z1.4), but it also requires real number measurements that may be harder to obtain than pass/fail data.
The sample plan, in terms of sample size n and the acceptance criteria, is a function of (1) the lot size, (2) the inspection level, and (3) the acceptable quality level (AQL). It is important to pay attention to the "chutes and ladders" aspect of some of the tables, in which the intersection of the sample code letter and AQL may contain an arrow that goes to a different row, and therefore a smaller or larger sample size.
This webinar will equip attendees to understand and apply the ANSI/ASQ Z1.9 (formerly MIL STD 414) standard for acceptance sampling by variables (real number data), along with vital considerations such as the need to test the measurements for conformance to the normal (bell curve) distribution.
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