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    How using such Sampling Plans Leads to Production

    View: 126

    Website http://www.compliance4all.com/control/w_product/~product_id=501623LIVE?channel=ourglocal_Dec_2017_SE | Want to Edit it Edit Freely

    Category AQL Sampling Plans, aql sampling, Compliance trainings, sampling plans and techniques, sampling plan by attributes, sampling plan basics, Trainings for sampling plans

    Deadline: December 11, 2017 | Date: December 12, 2017

    Venue/Country: Fremont, U.S.A

    Updated: 2017-10-31 15:50:05 (GMT+9)

    Call For Papers - CFP

    Overview:

    The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements.

    Why should you Attend:

    Almost all manufacturing companies spend time and money to inspect purchased parts upon receipt, in order to evaluate part quality before the parts Supplier is paid. "AQL" sampling plans are used almost universally for such inspections. However, AQL plans actually provide very little information about part quality.

    Areas Covered in the Session:

    Transformations to Normality

    K-tables

    Normal Probability Plot

    Reliability Plotting

    Who Will Benefit:

    Process Engineer

    Manufacturing Engineer

    QA/QC Technician

    Manufacturing Technician

    R&D Engineer

    Speaker Profile:

    John N. Zorich has spent 35 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the last 15 years were as consultant in the areas of QA/QC and Statistics.

    Event Fee: One Dial-in One Attendee Price: US$150.00

    Contact Detail:

    Compliance4All DBA NetZealous,

    Phone: +1-800-447-9407

    Email: supportatcompliance4All.com


    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.