Upcoming Events at DoubleTree by Hilton Houston Intercontinental Airport
Tue Jun 12, 9:00 AM - Wed Jun 13, 6:00 PM
DoubleTree by Hilton Houston Intercontinental Airport
15747 JFK Blvd Houston, TX 77032, Houston, TX 77032
Community: Meatpacking District
Description
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.
Event Details
Course "Applied Statistics, with Emphasis on Verification, Validation, Sample Size, and Risk Management, in R&D, Manufacturing, and QA/QC" has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.
Overview:
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:
• ISO standards and FDA/MDD regulations regarding the use of statistics.
• Basic vocabulary and concepts, including distributions such as binomial, hypergeometric, and Normal, and transformations into Normality.
• Statistical Process Control
• Statistical methods for Design Verification
• Statistical methods for Product/Process Qualification
• Metrology: the statistical analysis of measurement uncertainty, and how it is used to establish QC specifications
• How to craft "statistically valid conclusion statements" (e.g., for reports)
• Summary recommendations
Why should you attend:
Almost all design and/or manufacturing companies evaluate product 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 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
Overview:
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:
• ISO standards and FDA/MDD regulations regarding the use of statistics.
• Basic vocabulary and concepts, including distributions such as binomial, hypergeometric, and Normal, and transformations into Normality.
• Statistical Process Control
• Statistical methods for Design Verification
• Statistical methods for Product/Process Qualification
• Metrology: the statistical analysis of measurement uncertainty, and how it is used to establish QC specifications
• How to craft "statistically valid conclusion statements" (e.g., for reports)
• Summary recommendations
Why should you attend:
Almost all design and/or manufacturing companies evaluate product 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 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
