BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20240329T053146Z UID:fe494081-9262-47e8-9737-f162cca4ddce DTSTART:20210427T090000 DTEND:20210428T090000 CLASS:PRIVATE DESCRIPTION:
Acceptance sampling plans are important tools for manufactur ers. Effectively used they can help reduce costs while assuring quality an d controlling risks. Unfortunately\, this rich field of techniques is not as prominent as it once had been. As a result\, quality practitioners don& #39\;t always appreciate the wide range of available options or understand how to choose among alternate statistical sampling plans.
\n\nBecau se there are no published standards or guides to help select the right tec hnique for each application\, this workshop invaluable. For example\, a sa mpling plan to make an acceptance decision on an incoming lot is not the r ight plan to sample records in a quality audit. Even incoming inspection h as many viable options - variables sampling plans can significantly reduce inspection cost compared to common attributes sampling plans.
\n\nT his workshop balances understanding the statistical concepts of sampling a nd creating practical applications. The workshop uses a large number of ex ercises to help participants understand the theories\, master the techniqu es\, and participate in practical exercises.
\n\nAny company that us es sampling plans can benefit from this workshop. The workshop uses exampl es from medical device manufacturing. However\, the methods\, tools\, and techniques are not industry specific.
\n\nNearly all companies use sampling plans as part of qualit y control and quality assurance. However\, some methods are better suited to certain applications. Understanding the available methods can help make better choices to optimize cost and conformance.
\n\nParticipants will learn the statistical basis f or acceptance sampling plans and the tools and methods to describe them\, particularly the Operating Characteristic curve. This forms the basis for selecting sampling plans and understanding the associated risk. In particu lar\, regulators\, such as FDA Investigators\, expect companies to use thi s information to help implement valid statistical techniques. However\, co st is a consideration as well. Participants will learn how to calculate sa mpling costs and use the information to help choose efficient plans that c ontrol the risk.
\n\nParticipants receive a set of Excel spreadsheet s that help explain and implement the sampling plans.
\n\nFundamentals - Regulatory Req uirements
\n\nFundamentals - Statistic s
\n\nSampling Concepts
\n\nAttribute S ampling (Z1.4 &\; c=0)
\n\nAttribute Sampling (Dodge-Romig)
\n\nVariables Sampling Using Z1.9
\ n\nContinuous Sampling Plans
\n\nSkip-lot Sampling Plans< /strong>
\n\nChain Sampling Plans
\n\nSampling Plans for Quality Audits
\n\nDan O'\;Leary \;is
President of Ombu Enterprises\, LLC\, a company offering training and exe
cution in Operational Excellence\, focused on analytic skills and a system
s approach to operations management. Dan has more than 30 years'\; expe
rience in quality\, operations\, and program management in regulated indus
tries including aviation\, defense\, medical devices\, and clinical labs.
He has a Masters Degree in Mathematics\; is an ASQ certified Biomedical Au
ditor\, Quality Auditor\, Quality Engineer\, Reliability Engineer\, and Si
x Sigma Black Belt\; and certified by APICS in Resource Management.
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\nPlease contact Marilyn Turner: Phone: +1 929 900 1853  \;Emai
l: marilyn.turner [a] nyeventslist.com for registrations