Sign for Notice Everyday    Sign Up| Sign In| Link| English|

Our Sponsors


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

    View: 206

    Website http://www.globalcompliancepanel.com | Want to Edit it Edit Freely

    Category online training, Sampling,Z1.4,c=0 Plans,ASN,AOQ,ATI,Dan Oleary

    Deadline: March 01, 2012 | Date: March 01, 2012

    Venue/Country: online training webinar, U.S.A

    Updated: 2012-02-09 14:25:17 (GMT+9)

    Call For Papers - CFP

    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

    Price List:

    Live : $245.00

    Corporate live : $995.00

    Recorded : $295.00

    webinarsatglobalcompliancepanel.com

    http://www.globalcompliancepanel.com

    Phone: 800-447-9407

    Fax: 302-288-6884


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.