BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20240328T094322Z UID:f12cb69c-e315-4301-a23c-910759582b52 DTSTART:20210427T090000 DTEND:20210428T090000 CLASS:PRIVATE DESCRIPTION:
Acceptance sampling plans are important tools for manufacturers. Eff ectively used they can help reduce costs while assuring quality and contro lling risks. Unfortunately\, this rich field of techniques is not as promi nent as it once had been. As a result\, quality practitioners don'\;t a lways appreciate the wide range of available options or understand how to choose among alternate statistical sampling plans.
\n\nBecause there are no published standards or guides to help select the right technique f or each application\, this workshop invaluable. For example\, a sampling p lan to make an acceptance decision on an incoming lot is not the right pla n to sample records in a quality audit. Even incoming inspection has many viable options - variables sampling plans can significantly reduce inspect ion cost compared to common attributes sampling plans.
\n\nThis work shop balances understanding the statistical concepts of sampling and creat ing practical applications. The workshop uses a large number of exercises to help participants understand the theories\, master the techniques\, and participate in practical exercises.
\n\nAny company that uses sampl ing plans can benefit from this workshop. The workshop uses examples from medical device manufacturing. However\, the methods\, tools\, and techniqu es are not industry specific.
\n\nNearly all companies use sampling plans as part of quality contro l and quality assurance. However\, some methods are better suited to certa in applications. Understanding the available methods can help make better choices to optimize cost and conformance.
\n\nParticipants will learn the statistical basis for accep tance sampling plans and the tools and methods to describe them\, particul arly the Operating Characteristic curve. This forms the basis for selectin g sampling plans and understanding the associated risk. In particular\, re gulators\, such as FDA Investigators\, expect companies to use this inform ation to help implement valid statistical techniques. However\, cost is a consideration as well. Participants will learn how to calculate sampling c osts and use the information to help choose efficient plans that control t he risk.
\n\nParticipants receive a set of Excel spreadsheets that h elp explain and implement the sampling plans.
\n\nFundamentals - Regulatory Requirement s
\n\nFundamentals - Statistics
\n\nSampling Concepts
\n\nAttribute Sampling (Z1.4 &\; c=0)
\n\nAttribute Sampling (Dodge-Romig)
\n\nVariables Sampling Using Z1.9
\n\n< strong>Continuous Sampling Plans
\n\nSkip-lot Sampling Plans
\n\nChain Sampling Plans
\n\nSampling Plans for Quality Audits
\n\nPresident\, Ombu Enterprises \;
\n \;
Dan O'\;Leary is President of Ombu Enterprises\, LLC\, a company offering training and execution in Operational Excellence \, focused on analytic skills and a systems approach to operations managem ent. Dan has more than 30 years'\; experience in quality\, operations\, and program management in regulated industries including aviation\, defen se\, medical devices\, and clinical labs. He has a Masters Degree in Mathe matics\; is an ASQ certified Biomedical Auditor\, Quality Auditor\, Qualit y Engineer\, Reliability Engineer\, and Six Sigma Black Belt\; and certifi ed by APICS in Resource Management.
\n\nPlease contact the event man
ager Marilyn (marilyn.b.turner(at)nyeventslist.com ) below for: \;
\n- Multiple participant discounts \;
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isa invitation letters \;
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al\, check\, Western Union\, wire transfers etc) \;
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nsorship \;
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\nNO REFUNDS ALLOWED ON REGISTRATIONS \;<
br />\nPrices may go up any time. Service fees included in pricing. \;
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\n SUMMARY:Statistical Sampling Plans - Methods and Applications (ntz) A BEGIN:VALARM ACTION:DISPLAY TRIGGER:-PT1H SUMMARY:Statistical Sampling Plans - Methods and Applications (ntz) A END:VALARM END:VEVENT END:VCALENDAR