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DTSTART:19700308T020000
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UID:2140535:Event:68971
DTSTAMP:20260415T070432Z
SUMMARY:Webinar on Process Capability Analysis using Confidence/Reliab
 ility Calculations
DESCRIPTION:Description :\nAll manufacturing and development companies
  perform testing and/or inspections that involve concluding whether or
  not a product or lot is acceptable vs. design or QC specifications. S
 uch test/inspections may occur during design verification/validation o
 r during incoming or final QC.\nThe most informative method for analyz
 ing the data that results from such activities is the calculation of t
 he product's or lot's \"reliability\" at a chosen \"confidence\" level
  (where \"reliability\" means \"in-specification\"). Such a method pro
 duces information that is more valuable than simply that the given pro
 duct or lot \"passed\" (as is the case when \"AQL Attribute Sampling P
 lans\" are used) or a % in-specification statement without any corresp
 onding confidence statement (as is the case with AQL Variables Samplin
 g Plans and with Process Capability calculations).\nThe output of a \"
 Confidence/Reliability\" calculation is a definitive statement that th
 e given product or lot has a specific % in-specification, which conclu
 sion we can state with a specific level of confidence (e.g., 95% confi
 dence of 99% reliability, or 90% confident of 93% reliability\").\nAre
 as Covered in the Session :\nThe seminar begins with a discussion of r
 elevant regulatory requirements, as motivation for calculating \"confi
 dence/reliability\". Then, some vocabulary and basic concepts are disc
 ussed.\nNext, detailed descriptions are given for how to calculate con
 fidence/reliability for data that is either pass/fail (i.e., \"attribu
 te\" data), normally-distributed measurement data, non-normally distri
 buted measurement data that can be transformed into normality, or non-
 normally distributed measurement data that cannot be transformed into 
 normality.  Spreadsheets are shown as examples of how to implement th
 e methods described in the seminar. A final discussion is provided on 
 how to introduce the methods into a company.\nAll the above is capture
 d in these bullet points:\nRegulatory Requirements\nVocabulary and Con
 cepts\nAttribute Data\nNormal Data\nNormal Probability Plotting\nNon-N
 ormal Data that can be normalized\nReliability Plotting (for data that
  cannot be normalized)\nImplementation Recommendations\nWho Will Benef
 it:\nA must attend webinar for all:\nQA / QC Supervisors\nProcess Engi
 neers\nManufacturing Engineers\nQA / QC Technicians\nManufacturing Tec
 hnicians\nR&D Engineers\n\nFor more information visit https://medtechi
 q.ning.com/events/webinar-on-process-capability-analysis-using-confide
 nce
DTSTART;TZID=America/New_York:20160412T130000
DTEND;TZID=America/New_York:20160412T140000
CATEGORIES:webinar
LOCATION:Online
WEBSITE:https://compliancetrainings.com/SiteEngine/ProductDetailView.a
 spx?id=MD1872
URL:https://compliancetrainings.com/SiteEngine/ProductDetailView.aspx?
 id=MD1872
CONTACT:4169154458
ORGANIZER:Compliance Trainings
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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