- TypeWebinar
- Location Fremont, California, United States
- Date 11-04-2017
Education/Teaching/Training/Development
Business Development
Medical/Healthcare/Hospital
OTHERS
Overview:
Many companies use attribute sampling plans at incoming, in-process, and final inspection. However, variables sampling plans based on ANSI/ASQ Z1.9 can reduce cost by requiring smaller sample sizes. Z1.9 looks complicated, because it was written before the advent of calculators. A simple statistical calculator eliminates the need for the long form manual calculations of the mean and standard deviation. Z1.9 uses information more effectively than an attribute sampling plan. An inspection operation that measures values and converts them to attributes looses information. As a result, the attribute sample size is larger to compensate. Using the measured values directly can reduce sample size and help lower cost. A calculator or spreadsheet makes the standard easy to implement.
This presentation covers the methods in Z1.9 and shows how to use most common choice, standard deviation unknown. The presentation explains how a simple statistical calculator easily provides the needed sampling statistics.
Why should you Attend:
If you are responsible for any acceptance activities, such as incoming inspection, you need to evaluate them for cost reduction opportunities. One viable alternative, Z1.9, applies when the inspector measures actual values and converts them to pass/fail to use Z1.4 or c=0. The sample sizes may be too large. This presentation will help you understand Z1.9 and determine if it a better choice.
Objectives of the Presentation:
Who Will Benefit:
Speaker Profile
Dan is the President of Ombu Enterprises, LLC, a company offering training and execution in Operational Excellence, focused on analytic skills and a systems approach to operations management. Dan has more than 30 years experience in quality, operations, and program management in regulated industries including aviation, defense, medical devices, and clinical labs. He has a Masters Degree in Mathematics; is an ASQ certified Biomedical Auditor, Quality Auditor, Quality Engineer, Reliability Engineer, and Six Sigma Black Belt; and is certified by APICS in Resource Management.
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