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GlobalCompliancePanel, USA
2010-12-16
We explain the basis for sampling plans, the binomial distribution, and show how it helps us understand the sampling plan’s performance using the operating characteristic (OC) curve. Participants will gain a solid understanding of how the OC curve is built, how to use it, and how to identify some of the most important points on the curve, including the AQL and RQL points.
The course also provides complete descriptions of three other important curves that help you understand a sampling plan. The average sample number (ASN) helps you predict the number of samples you will take. The average outgoing quality (AOQ) helps you foresee the results if you inspect rejected lots. The average total inspected (ATI) helps you calculate how many items you will inspect including rejected lots. Users of Z1.4 will want to understand how to set up sampling and select parameters such as AQL and Level. The course provides a complete description of Z1.4, showing the process from receiving the lot to selecting the sample size to making the accept/reject decision. We will discuss the following issues: - How to use the sampling tables to determine the sampling plan
- Ways to avoid common errors and misunderstandings with the sampling tables
- The difference between single, double, and multiple sampling plans
- Why double sampling plans are the most economical choice
- The reasons for the switching rules between normal, reduced, and tightened
- The use of the switching rules to help improve your supplier management program
- How the switching rules can help you reduce inspection cost
The c=0 plans are very popular, since they are based on the notion that everything in the sample should pass inspection. The course examines these plans using the curves described above. The OC curve, in these plans, has a different shape that can lead to problems. We will discuss the following issues: - How to use the c=0 plans instead of Z1.4 plans
- The basis for the plans using the RQL point
- The differences in the OC curves and why they can cause problems
- How a change from Z1.4 to c=0 can impact your inventory and disrupt your suppliers
Why should you attend:Imagine this! Your company uses acceptance sampling in your manufacturing process and your manager asked to make sure it is cost effective. She also knows there is some risk associated with sampling, but she admits she doesn’t completely understand it. You now have a new assignment; assure your manager that you have good balance between risk and cost. The person who set up the system retired a few years ago and isn’t available to help. You have also heard about some new methods called c=0 or zero based acceptance. - How do you know how much your inspection system costs?
- Are you inspecting too much, and wasting money?
- Are you inspecting too little and incurring risk?
- Do your current managers and supervisors understand how the system works?
- Will your ISO 9001 registrar ask for justification of these statistical methods?
- Should you start to use these c=0 plans you have heard about?
- Can you improve the process?
Areas Covered in the Session: - Sampling concepts
- With or without replacement
- Simple or stratified sampling
- The binomial distribution
- Possible outcomes and Bernoulli trials
- The binomial formula and what it means
- The cumulative binomial
- Sampling plans
- The AQL concept
- The ideal OC curve
- The practical OC curve
- Reading risk off the OC curve
- Special points on the practical OC curve
- The AQL point
- The IQL point
- The RQL point
- Characterizing sampling plans
- Using rectifying inspection
- The four important curves
- The OC curve
- The ASN curve
- The AOQ curve
- The ATI curve
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Organized by:
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GlobalCompliancePanel |
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Invited Speakers:
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Dan OLeary: - 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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Deadline for Abstracts:
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2010-12-09
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Registration:
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Thursday, December 16, 2010
10:00 AM PDT | 01:00 PM EDT | | | Live live online training only for one participant | | |
| | | | | | Corporate Live 4 to 10 participants from a single location (For multiple locations contact Customer Care) | | |
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E-mail:
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webinars@GlobalCompliancePanel.com
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