Understanding Attribute Acceptance Sampling Including Z1.4 And C=0 Plans - Webinar By GlobalCompliancePanel

Understanding Attribute Acceptance Sampling Including Z1.4 And C=0 Plans - Webinar By GlobalCompliancePanel

Overview: This course provides the attendees with the tools needed to understand and implement acceptance sampling.

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

Z1.4 Plans Setting up the plan Selecting the Level

Selecting the AQL

Knowing the lot size

Selecting single, double, or normal plans Single sample plans

Double sample plans

Multiple sample plans

Cost analysis for single v. double plans

Switching rules When to switch

Why reduced inspection lowers cost

How tightened inspection can help improve supplier performance

c=0 plans How they are matched to Z1.4 plans The RQL point is the key

Making the curves cross at one point

How to employ switching rules

The OC curve It is not the ideal curve

The difference in shape and the problems it causes

Consequences of moving from Z1.4 to c=0 Inventory management and stock-outs

Supplier management and performance metrics

Who Will Benefit: This seminar 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. This typically includes: Quality Engineers

Production and Process Engineers

Manufacturing Engineers

Design Engineers

Purchasing Managers

Purchasing Agents

Supplier Quality Engineers

Quality Supervisors

Quality Inspectors

Quality Managers

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