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DTSTAMP:20260521T220149Z
SUMMARY:Introduction to SPC (Statistical Process Control)
DESCRIPTION:Overview: Manufacturing involves an attempt to produce ite
 ms that as closely as possible meet design specifications (e.g., size,
  strength, etc.). However, all production processes exhibit variation 
 - that is, no two items are identical. What method can we use to reduc
 e such variation? The classic and still most widely used method is cal
 led SPC or \"statistical process control\". SPC is a statistical tool
  that objectively identifies when it is worthwhile to perform a formal
  investigation of manufacturing variation, in order to identify and re
 duce its cause. SPC continually adjusts its sensitivity in order to en
 sure that such investigations are performed only when there is a reaso
 nable chance of identifying causes of variation. SPC also provides inf
 ormation that can be used to estimate what % of items is being produce
 d \"in specification\".Why should you attend: All companies want to i
 mprove the quality of their products. Attempts to improve product qual
 ity need to be structured in such a way that they have a reasonable ch
 ance of success and the cost/benefit ratio is appropriate. The most su
 ccessful method available for such endeavors is called SPC (statistica
 l process control). SPC can also be used to meet ISO requirements for 
 \"continual improvement\" as well as FDA requirements to \"control and
  monitor production processes\". SPC can even be used to monitor compl
 aint rates, to determine if there has been a \"significant\" increase 
 in complaints, which would therefore trigger an MDD \"vigilance report
 \" and/or an FDA MDR submission.Areas Covered in the Session:\nDefinit
 ion of relevant terms\nTypes of control charts\nCalculation of control
  limits for an XbarR chart\nRules for detecting \"out of control\"\nSa
 mpling\nProcess Capability Indices (Cp, Cpk, Pp, Ppk)\nSPC Program imp
 lementation\n\nWho Will Benefit:\n\nQA/QC Supervisor\nProcess Engineer
 \nManufacturing Engineer\nQC/QC Technician\nManufacturing Technician\n
 \n\n\n\nJohn N. Zorich has spent 35 years in the medical device manuf
 acturing industry; the first 20 years were as a \"regular\" employee i
 n 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. His con
 sulting clients in the area of statistics have included numerous start
 -ups as well as large corporations such as Boston Scientific, Novellus
 , and Siemens Medical. \n\nQuick Contact:\nGlobalCompliancePanel USA 
 Phone:800-447-9407webinars@globalcompliancepanel.comhttp://www.globalc
 ompliancepanel.comEvent Link - http://bit.ly/1e2naZJ\n\n\n\n\n\nFor m
 ore information visit https://medtechiq.ning.com/events/introduction-t
 o-spc-statistical-process-control
DTSTART;TZID=America/New_York:20140320T100000
DTEND;TZID=America/New_York:20140320T113000
CATEGORIES:webinar, pharma, medical, clinical, health
LOCATION:Online Event
WEBSITE:http://bit.ly/1e2naZJ
URL:http://bit.ly/1e2naZJ
CONTACT:8004479407
ORGANIZER;CN="John Robinson":https://medtechiq.ning.com/profile/JohnRo
 binson
ATTACH;FMTTYPE="image/jpeg":http://storage.ning.com/topology/rest/1.0/
 file/get/2562011838?profile=original
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="John Rob
 inson":https://medtechiq.ning.com/profile/JohnRobinson
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