Better Risk-Management Alternatives to AQL Sampling Plans in Incoming QC Inspection

John N Zorich

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Attend this webinar to learn the serious disadvantages of basing incoming QC inspection on AQL sampling plans (e.g., ANSI Z1.4 or Squeglia's C=0). You will also learn several better risk management alternatives that provide much better quality control and risk management.

Why Should You Attend:

The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. The advantages of "confidence/reliability" calculations are explained. Such calculations are demonstrated for Attribute data (pass/fail, yes/no data) as well as for variables data (i.e., measurements). If variables data is "Normally distributed" the calculations are extremely simple. The webinar explains how to handle "non-Normal" data, and provides the methods, formulas, and tools to handle non-normality.

The training includes a discussion of how one OEM manufacturer has implemented "confidence/reliability" calculations instead of AQL sampling plans for all of its clients. And suggestions are given for how to use "confidence/reliability" QC specifications instead of "AQL" QC specifications. The use of "reliability plotting" for assessing product reliability during R&D is also discussed.

The training also includes an examination of ISO and FDA regulations and guidelines regarding the use of statistics, especially in regards to Sampling Plans.

Areas Covered in the Webinar:

  • AQL and LQL sampling plans
  • OC Curves
  • AOQL
  • ANSI Z1.4
  • Squeglia's C=0
  • Confidence/Reliability calculations for
    • attribute data
    • Normally-distributed variables data
    • non-Normal data
  • Transformations to Normality
  • K-tables
  • Normal Probability Plot
  • Reliability Plotting

Who Will Benefit:

  • QA/QC Supervisor
  • Process Engineer
  • Manufacturing Engineer
  • QC/QC Technician
  • Manufacturing Technician
  • R&D Engineer
Webinar Events
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Training CD-DVD

Physical CD-DVD of recorded session will be despatched after 72 hrs on completion of payment

Premier price: $ 449 (save 10%)

Recorded video

Recorded video session

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Speaker: John N Zorich , Statistical Consultant and Trainer, Statistical Consult

John Zorich has spent almost 40 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the next 15 years were as a consultant in the areas of QA/QC and Statistics. These last few years were as a trainer and consultant in the area of Applied Statistics only. His consulting clients in the area of statistics have included numerous start-ups as well as large corporations such as Boston Scientific, Novellus, and Siemens Medical. His experience as an instructor in applied statistics includes having given annual 3-day seminars for many years at Ohlone College (San Jose CA), and previously having given that same course for several years for Silicon Valley ASQ Biomedical. He's given numerous statistical seminars at ASQ meetings and conferences. And he creates and sells validated statistical software programs that have been purchased by more than 110 companies, world-wide.