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Webinar On "Sampling by Variables; How to Use ANSI/ASQ Z1.9 (formerly MIL-STD 414)"

Event Details

Webinar On "Sampling by Variables; How to Use ANSI/ASQ Z1.9 (formerly MIL-STD 414)"

Time: June 14, 2018 from 1pm to 2pm
Location: Online
Street: 9106 Seven Locks Road
City/Town: Bethesda
Website or Map: https://www.compliancetrainin…
Phone: 1-844-216-5230
Event Type: online, /, webinar
Organized By: Sam Miller
Latest Activity: May 29

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Event Description

Description :
ANSI/ASQ Z1.9 (formerly MIL-STD 414) is a generally accepted sampling standard for products with real-number (variables) data. Acceptance or rejection depends on the sample statistics. The sampling plan itself is a function of the lot size, acceptable quality level (AQL), and sampling level. Switching rules similar to those for ANSI/ASQ Z1.4 (MIL-STD 105) determine whether sampling is at the normal, tightened, or reduced level.

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Areas Covered in the Session :
  • Practical requirements for drawing the sample
  • Plan considerations: one-sided or two-sided specification? Equal or unequal AQLs for the two specification limits? Process variation known or unknown?
  • Selection of normal, tightened, or reduced inspection as a function of quality performance and consistency of production
  • Definition of the appropriate sample plan (sample size and acceptance criteria) on the basis of the lot size N, sampling level, and AQL
  • Calculation of sample statistics and quality indices, and estimation of the nonconforming fraction (at each specification limit if necessary) to determine whether the lot should be accepted
    1. Use of the range method; an important takeaway is that ranges are for groups of 5 parts and not the total sample. If the sample size is 15, the range is the average range for three groups of five parts as opposed to one range for 15 parts.
  • An appendix in the handout (the webinar will not spend time on the material as it is not necessary to actually use the standard) will show how to derive the operating characteristic curves for situations in which the process variation is known, and when only the sample standard deviation is available. The latter requires use of the noncentral t distribution, which is handled by software packages such as StatGraphics.
Who Will Benefit:
Manufacturing and quality engineers, technicians, and inspectors with responsibility for inspections that involve quantitative measurements of parts.
About Speaker:
William A. Levinson, P.E., FASQ, CFPIM, is the owner of Levinson Productivity Systems PC. He holds professional certifications from the American Society for Quality, APICS, and Society of Manufacturing Engineers.

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