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TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0400
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TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
UID:2140535:Event:64111
DTSTAMP:20260410T084346Z
SUMMARY:Webinar On Statistical Analysis of Gages
DESCRIPTION: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 s
 tandard methods for analyzing measurement variation are then described
  and explained, as derived from AIAG's Measurement System Analysis ref
 erence 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.\nThe seminar ends with an explanatio
 n of how to combine all relevant uncertainty information into an \"Unc
 ertainty Budget\" that helps determine the appropriate width of QC spe
 cification intervals (i.e., \"guard-banded specifications\"). Spreadsh
 eets are used to demonstrate how to perform the methods described duri
 ng the seminar.\nAll manufacturing and development companies perform t
 esting and/or inspection that involves measurements of products, compo
 nents, and/or raw materials. The output of those measurements is compa
 red to design or QC specifications, to determine whether or not the me
 asurements \"pass\" those specifications.\nHowever, all measurement pr
 ocesses have some inherent variability; that is, a given measurement w
 ill likely not be exactly equal to the true value, because of variatio
 n from a number of different sources. Some of those sources are: perso
 n to person, equipment to equipment, time to time, and calibration to 
 calibration. How much trust to place in a given measurement can be qua
 ntified by determining the magnitude of each of those sources; in effe
 ct, the larger the uncertainty of the measurement (i.e., the greater t
 he measurement variation, in comparison to the size of the design or Q
 C specification interval), the lower the trust that should be placed i
 n a given measurement.\nIf the measurement uncertainty can be quantifi
 ed, it can be applied to reduce the width of the design/QC specificati
 ons, so that the resulting \"guard banded\" specifications can be used
  without concern for measurement variation.\nAreas Covered in the Sess
 ion :\nFundamental Vocabulary & Concepts\nGage R&R (ANOVA method)\nGag
 e Correlation\nGage Linearity\nGage Bias\nUncertainty Budgets and Guar
 d-banded Specifications\nWho Will Benefit:\nQA/QC Supervisor\nProcess 
 Engineer\nManufacturing Engineer\nQC/QC Technician\nManufacturing Tech
 nician\nR&D Engineer\nPrice tags:\nLive\nSingle Live : For One Partici
 pant\n$ 249\nCorporate Live : For Max. 10 Participants\n$ 899\nRecordi
 ng\nSingle REC : For One Participant - Unlimited Access for 6 Months\n
 $ 299\n\nFor more information visit https://medtechiq.ning.com/events/
 webinar-on-statistical-analysis-of-gages
DTSTART;TZID=America/New_York:20140805T130000
DTEND;TZID=America/New_York:20140805T140000
CATEGORIES:webinar
LOCATION:Online
WEBSITE:https://compliancetrainings.com/SiteEngine/ProductDetailView.a
 spx?id=FDB1272
URL:https://compliancetrainings.com/SiteEngine/ProductDetailView.aspx?
 id=FDB1272
CONTACT:4169154458
ORGANIZER;CN=compliancetrainings:https://medtechiq.ning.com/profile/co
 mpliancetrainings
ATTACH;FMTTYPE="image/jpeg":
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN=complianc
 etrainings:https://medtechiq.ning.com/profile/compliancetrainings
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