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DTSTART:19700308T020000
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UID:2140535:Event:240236
DTSTAMP:20260831T194506Z
SUMMARY:Statistical Analysis of Gages (Metrology)
DESCRIPTION:The webinar begins with an examination of the fundamental 
 vocabulary and concepts related to metrology.\nTopics include: accurac
 y, precision, calibration, and \"uncertainty ratios\". Several of the 
 standard methods for analyzing measurement variation are then describe
 d and explained, as derived from AIAG's Measurement System Analysis re
 ference book. The methods include: Gage R&R (ANOVA method, for 3 gages
 , 3 persons, 3 replicates, and 10 parts), Gage Correlation (for 3 gage
 s), Gage Linearity, and Gage Bias.The webinar ends with an explanation
  of how to combine all relevant uncertainty information into an \"Unce
 rtainty Budget\" that helps determine the appropriate width of QC spec
 ification intervals (i.e., \"guard-banded specifications\"). Spreadshe
 ets are used to demonstrate how to perform the methods described durin
 g the webinar.Why should you attend: All manufacturing and developmen
 t companies perform testing and/or inspection that involves measuremen
 ts 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 mea
 surement can be quantified by determining the magnitude of each of tho
 se 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 uncertain
 ty can be quantified, it can be applied to reduce the width of the des
 ign/QC specifications, so that the resulting \"guard banded\" specific
 ations can be used without concern for measurement variation.Areas Cov
 ered in the Session:\n\nFundamental Vocabulary & Concepts\nGage R&R (A
 NOVA method)\nGage Correlation\nGage Linearity\nGage Bias\nUncertainty
  Budgets and Guard-banded Specifications\n\nWho Will Benefit:\n\nQA/QC
  Supervisor\nProcess Engineer\nManufacturing Engineer\nQC/QC Technicia
 n\nManufacturing Technician\nR&D Engineer\n\n\n\n\nSpeaker ProfileJohn
  N. Zorich has spent almost 40 years in the medical device manufactur
 ing industry; the first 20 years were as a \"regular\" employee in the
  areas of R&D, Manufacturing, QA/QC, and Regulatory; the next 15 years
  were as a consultant in the areas of QA/QC and Statistics. These last
  few years were as a trainer and consultant in the area of Applied Sta
 tistics only. His consulting clients in the area of statistics have in
 cluded numerous start-ups as well as large corporations such as Boston
  Scientific, Novellus, and Siemens Medical.\n\nEvent link:\nhttps://ww
 w.compliance4all.com/webinar/--502877LIVE?channel=%20medtechiq.ning_20
 20_SEO\nContact Info\nNetzealous LLC,DBA -Compliance4all\nEmail: suppo
 rt@compliance4All.com\nPhone: +1-800-447-9407\nWebsite: https://www.co
 mpliance4all.com/\n\n\nFor more information visit https://medtechiq.ni
 ng.com/events/statistical-analysis-of-gages-metrology
DTSTART;TZID=America/New_York:20200219T100000
DTEND;TZID=America/New_York:20200219T130000
CATEGORIES:online, event
LOCATION:Online
WEBSITE:https://www.compliance4all.com/webinar/statistical-analysis-of
 -gages-(metrology)--502877LIVE
URL:https://www.compliance4all.com/webinar/statistical-analysis-of-gag
 es-(metrology)--502877LIVE
CONTACT:+1-800-447-9407
ORGANIZER:Compliance4all
ATTACH;FMTTYPE="image/jpeg":https://storage.ning.com/topology/rest/1.0
 /file/get/2647295700?profile=original
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="Adam Fle
 ming":https://medtechiq.ning.com/profile/Compliance4all
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