Understanding Attribute Acceptance Sampling including Z1.4 and c=0 Plans Webinar training seminars presented by Online Compliance Panel register now on FindaSeminar.com

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Understanding Attribute Acceptance Sampling including Z1.4 and c=0 Plans Webinar  

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This webinar is designed for people in manufacturing who are involved in setting product specifications, setting up acceptance plans, performing acceptance activities, and supply chain management. Attendees should have knowledge of manufacturing process that includes acceptance activities such as incoming, in-process, and final acceptance.

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Seminar Summary:

This webinar provides the tools needed to understand and implement acceptance sampling. It explains the basis for sampling plans, the binomial distribution, and uses it to understand the sampling plan’s performance using the operating characteristic (OC) curve.  (see full course description)

 

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Training Course Syllabus:


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.


  • 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?

  • Objectives of the Presentation:

  • Z1.4 Plan


    • 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


  • c=0 Plan


    • 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


Seminar Summary:

This webinar provides the tools needed to understand and implement acceptance sampling. It explains the basis for sampling plans, the binomial distribution, and uses it to understand the sampling plan’s performance using the operating characteristic (OC) curve.  (see full course description)

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