Understanding Attribute Acceptance Sampling including Z1.4 and c=0 Plans Webinar
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.
Why Should you Attend:
You will learn some very important issues to consider in selecting and using sampling plans.