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Sampling by Variables (ANSI/ASQ Z1.9)

Event Details

Sampling by Variables (ANSI/ASQ Z1.9)

Time: April 24, 2018 from 1pm to 2pm
Location: Training Doyens 26468 E Walker Dr,Aurora, Colorado
City/Town: Aurora
Website or Map: https://bit.ly/2GdNZoG
Phone: +1-720-996-1616
Event Type: webinar, :, cross, industry, function
Organized By: Training Doyens
Latest Activity: Mar 28

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Event Description

OVERVIEW

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. The technology is very straightforward, but users must also be aware of the often-overlooked fact that the standard relies on the assumption that the part measurements follow the normal or bell curve distribution. If this is not the case, the standard will not deliver the intended or expected results.AREAS COVERED

  • 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.

LEARNING OBJECTIVES

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.

SPEAKER

William Levinson is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engineer, and Six Sigma Black Belt. He holds degrees in chemistry and chemical engineering from Penn State and Cornell Universities, and night school degrees in business administration and applied statistics from Union College, and he has given presentations at the ASQ World Conference, ISO/Lean Six Sigma World Conference, and others.

For more detail please click on this below link:

https://bit.ly/2GdNZoG

Email: support@trainingdoyens.com

Toll Free: +1-888-300-8494

Tel: +1-720-996-1616

Fax: +1-888-909-1882

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