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    Webinar On Statistical Analysis of Gages

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    Website https://compliancetrainings.com/SiteEngine/ProductDetailView.aspx?id=FDB1272 | Want to Edit it Edit Freely

    Category Food, Drugs & Biologics, Statistical Analysis Gages, Gage Correlation, Gage Linearity, Gage Bias, Gage R&R, metrology vocabulary concepts, guard-banded specifications, Spreadsheets, Fda compliance trainings, FDA

    Deadline: September 05, 2014 | Date: September 05, 2014

    Venue/Country: Mississauga, Canada

    Updated: 2014-08-25 18:34:14 (GMT+9)

    Call For Papers - CFP

    The seminar begins with an examination of the fundamental vocabulary and concepts related to metrology. Topics include: accuracy, precision, calibration, and "uncertainty ratios". Several of the standard methods for analyzing measurement variation are then described and explained, as derived from AIAG's Measurement System Analysis reference book. The methods include: Gage R&R (ANOVA method, for 3 gages, 3 persons, 3 replicates, and 10 parts), Gage Correlation (for 3 gages), Gage Linearity, and Gage Bias.

    The seminar ends with an explanation of how to combine all relevant uncertainty information into an "Uncertainty Budget" that helps determine the appropriate width of QC specification intervals (i.e., "guard-banded specifications"). Spreadsheets are used to demonstrate how to perform the methods described during the seminar.

    All manufacturing and development companies perform testing and/or inspection that involves measurements of products, components, and/or raw materials. The output of those measurements is compared to design or QC specifications, to determine whether or not the measurements "pass" those specifications.

    However, all measurement processes have some inherent variability; that is, a given measurement will likely not be exactly equal to the true value, because of variation from a number of different sources. Some of those sources are: person to person, equipment to equipment, time to time, and calibration to calibration. How much trust to place in a given measurement can be quantified by determining the magnitude of each of those sources; in effect, the larger the uncertainty of the measurement (i.e., the greater the measurement variation, in comparison to the size of the design or QC specification interval), the lower the trust that should be placed in a given measurement.

    If the measurement uncertainty can be quantified, it can be applied to reduce the width of the design/QC specifications, so that the resulting "guard banded" specifications can be used without concern for measurement variation.

    Areas Covered in the Session :

    Fundamental Vocabulary & Concepts

    Gage R&R (ANOVA method)

    Gage Correlation

    Gage Linearity

    Gage Bias

    Uncertainty Budgets and Guard-banded Specifications

    Who Will Benefit:

    QA/QC Supervisor

    Process Engineer

    Manufacturing Engineer

    QC/QC Technician

    Manufacturing Technician

    R&D Engineer

    Price tags:

    Live

    Single Live : For One Participant

    $ 249

    Corporate Live : For Max. 10 Participants

    $ 899

    Recording

    Single REC : For One Participant - Unlimited Access for 6 Months

    $ 299

    For more information and enquiries contact us at

    Compliance Trainings

    5939 Candlebrook Ct, Mississauga, ON L5V 2V5, Canada

    Customer Support : #416-915-4458

    Email : supportatcompliancetrainings.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.