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

Website http://www.onlinecompliancepanel.com/webinar/AttributeAcceptanceSampling-500979/OCT-2015-ES | Edit Freely

Category Attribute acceptance sampling, statistical basis, Z1.4 and c=0 Plans, Z1.4 and c=0 Tables, ZBA Plans, average total inspected, ATI, average outgoing quality, rejected lots, supplier management program, operating characteristic curve, OC curve, average sample number, ASN, RQL points, binomial formula, cumulative binomial, stratified sampling, Bernoulli trials, Inventory management"

Deadline: October 20, 2015 | Date: October 21, 2015

Venue/Country: online Webinar, U.S.A

Updated: 2015-10-01 16:53:45 (GMT+9)

Call For Papers - CFP

Instructor: Daniel O'Leary

Product ID: 500979

Description

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.

Areas Covered

Sampling concepts

The binomial distribution

Characterizing sampling plans - four important curves

Z1.4 Plans

c=0 Plans

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

Who can Benefit

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. 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

For Registration -

http://www.onlinecompliancepanel.com/webinar/AttributeAcceptanceSampling-500979/OCT-2015-ES

Note : Use coupon code 1371 and get 10% off on Registration