Why Should You Attend:
Attribute acceptance sampling is a common tool for medical device manufacturers. Unfortunately, many people don’t understand the underlying concepts or the basis to make decisions. This presentation explains the underlying ideas of attribute sampling plans and how to use the two most common published plans, Z1.4 and c=0. In addition, the presentation describes the major differences between the approaches. Attribute sampling plans are characterized by the operating characteristic curve (OC curve) which provides the basis for risk and understanding sampling costs.
Participants 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 webinar 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 learn how to set up sampling and select parameters such as AQL and Level. The webinar 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. 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.
Participants receive an Excel spreadsheet to calculate the important curves that characterize attribute acceptance plans
Areas Covered in the Webinar:
Who Will Benefit:
The presentation is valuable to anybody who uses attribute sampling plans including:
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