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Applied Statistics with Emphasis on Verification, Validation & Risk Management, in R&D, Manufacturing & QA/QC (Houston, TX, United States - February 27-28, 2020) - ResearchAndMarkets.com

January 17, 2020 GMT

DUBLIN--(BUSINESS WIRE)--Jan 17, 2020--

The “Applied Statistics, with Emphasis on Verification, Validation, and Risk Management, in R&D, Manufacturing, and QA/QC” conference has been added to ResearchAndMarkets.com’s offering.

The 2-day seminar explains how to apply statistics to manage risks and verify/validate processes in R&D, QA/QC, and Manufacturing, with examples derived mainly from the medical device design/manufacturing industry.

The flow of topics over the 2 days is as follows:

Why should you attend:

Almost all design and/or manufacturing companies evaluate products and processes either to manage risks, to validate processes, to establish product/process specifications, to QC to such specifications and/or to monitor compliance to such specifications.

The various statistical methods used to support such activities can be intimidating. If used incorrectly or inappropriately, statistical methods can result in new products being launched that should have been kept in R&D; or, conversely, new products not being launched that, if analyzed correctly, would have met all requirements. In QC, mistakenly chosen sample sizes and inappropriate statistical methods may result in the purchased product being rejected that should have passed, and vice-versa.

This seminar provides a practical approach to understanding how to interpret and use more than just a standard tool-box of statistical methods; topics include Confidence intervals, t-tests, Normal K-tables, Normality tests, Confidence/reliability calculations, Reliability plotting (for extremely non-normal data), AQL sampling plans, Metrology (i.e., statistical analysis of measurement uncertainty ), and Statistical Process Control. Without a clear understanding and correct implementation of such methods, a company risks not only significantly increasing its complaint rates, scrap rates, and time-to-market, but also risks significantly reducing its product and service quality, its customer satisfaction levels, and its profit margins.

Areas Covered in the Session

Agenda:

Day 1 Schedule

Lecture 1:

Lecture 2:

Lecture 3:

Lecture 4:

Lecture 5:

Lecture 6:

Lecture 7:

Lecture 8:

Day 2 Schedule

Lecture 1:

Lecture 2:

Lecture 3:

Lecture 4:

Lecture 5:

Lecture 6:

Lecture 7:

Speakers:

John N. Zorich

Statistical Consultant & Trainer

Ohlone College & SV Polytechnic

John N. Zorich has spent 35 years in the medical device manufacturing industry; the first 20 years were as a “regular” employee in 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 consulting clients in the area of statistics have included numerous start-ups as well as large corporations such as Boston Scientific, Novellus, and Siemens Medical. His experience as an instructor in statistics includes having given 3-day workshop/seminars for the past several years at Ohlone College (San Jose CA), 1-day training workshops in SPC for Silicon Valley Polytechnic Institute (San Jose CA) for several years, several 3-day courses for ASQ Biomedical, numerous seminars at ASQ meetings and conferences, and half-day seminars for numerous private clients. He creates and sells formally-validated statistical application spreadsheets that have been purchased by more than 75 companies, world-wide.

For more information about this conference visit https://www.researchandmarkets.com/r/j7pf4j

View source version on businesswire.com:https://www.businesswire.com/news/home/20200117005210/en/

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KEYWORD:

INDUSTRY KEYWORD: TECHNOLOGY OTHER MANUFACTURING ELECTRONIC DESIGN AUTOMATION MANUFACTURING

SOURCE: Research and Markets

Copyright Business Wire 2020.

PUB: 01/17/2020 07:28 AM/DISC: 01/17/2020 07:28 AM

http://www.businesswire.com/news/home/20200117005210/en