This webinar will discuss setting up statistically justified sampling plans for process validation. The discussion will also involve using the sampling plan to set acceptance criteria for process validation. Setting acceptance criteria for test method validation will also be presented.
WHY SHOULD YOU ATTEND?
All companies in the pharmaceutical and medical device space are required to implement formal and statistically justified sampling plans and acceptance criteria for validation. Many companies do not have dedicated statistics departments, so it is up to the validation or quality engineer to develop sampling plans. This training will be a simple step-by-step method of developing statistically justified sampling plans and acceptance criteria.
This webinar will discuss methods for setting up sampling plans depending on the risk profile of the final product or production step. It will go into using the sampling plan to set statistically justified acceptance criteria for the validation. Also presented will be setting confidence levels and spreading that confidence level out over multiple runs. Setting statistically justified acceptance criteria for test method validation will also be discussed.
AREA COVERED
- What is Sampling
- Sampling is the ability to make a quality determination on a large number of things without direct examination of each thing
- Validation Sampling
- Not the same as lot acceptance sampling
- Differences
- Setting up a Validation Sampling Plan
- Pre-Sampling Determinations
- Steps to setting up sampling plans
- Variables vs. Attributes Sampling Plans
- The Concept of Acceptance Criteria
- Variance, How much is too much
- How to measure variance and why
- Use of Process Capability
- The concept of process capability
- Cp vs CpK
- How to use process capability to set acceptance criteria
WHO WILL BENEFIT?
- QA professionals
- Technical scientists
- Production staff
- Statisticians involved in validation
from Medical Device and Pharmaceutical Companies
All companies in the pharmaceutical and medical device space are required to implement formal and statistically justified sampling plans and acceptance criteria for validation. Many companies do not have dedicated statistics departments, so it is up to the validation or quality engineer to develop sampling plans. This training will be a simple step-by-step method of developing statistically justified sampling plans and acceptance criteria.
This webinar will discuss methods for setting up sampling plans depending on the risk profile of the final product or production step. It will go into using the sampling plan to set statistically justified acceptance criteria for the validation. Also presented will be setting confidence levels and spreading that confidence level out over multiple runs. Setting statistically justified acceptance criteria for test method validation will also be discussed.
- What is Sampling
- Sampling is the ability to make a quality determination on a large number of things without direct examination of each thing
- Validation Sampling
- Not the same as lot acceptance sampling
- Differences
- Setting up a Validation Sampling Plan
- Pre-Sampling Determinations
- Steps to setting up sampling plans
- Variables vs. Attributes Sampling Plans
- The Concept of Acceptance Criteria
- Variance, How much is too much
- How to measure variance and why
- Use of Process Capability
- The concept of process capability
- Cp vs CpK
- How to use process capability to set acceptance criteria
- QA professionals
- Technical scientists
- Production staff
- Statisticians involved in validation
from Medical Device and Pharmaceutical Companies
Speaker Profile
Alan M Golden
Alan M Golden has over 30 years of experience in the medical device industry, both in basic research and quality assurance. Alan spent 31 years at Abbott Laboratories. For the first 16 years as part of diagnostics R&D, he developed recombinant proteins used in diagnostics tests, received three US patents, and published numerous papers and abstracts. Alan then transitioned to a quality assurance role wherein both the Abbott Diagnostics and Abbott Molecular divisions, he was responsible for quality assurance for new product development, on-market product support, and operations.Alan’s quality assurance experience extends from design control, change control, risk …
Upcoming Webinars
Interactive dashboards & analytics in Excel
Language is Code - Intro to AI - Generative AI - ChatGPT an…
Medical Device Hazard analysis following ISO 14971
Data Integrity and Privacy: Compliance with 21 CFR Part 11,…
FDA Audit Best Practices - Do's and Don'ts
Performance of Root Cause Analysis, CAPA, and Effectiveness…
Unauthorized Transactions – Reg E vs Nacha Operating Rules
Secrets Of Psychology - Why People Do The Things They Do
New Form I-9: Documents and Policies that Ensure ICE I-9 Co…
2-Hour Virtual Seminar on How to Conduct an Internal Harass…
Claude AI For CPAs & Finance Professionals: Best Practices …
Managing Complex Projects - Project Management
Project Management For Administrative Professionals
Elevate Your Workplace Wellness: 10 Critical Wellness Facto…
Onboarding is NOT Orientation - How to Improve the New Empl…
Negotiating Skills For Professional Results - Winning Strat…
Utilizing HR Metrics to Illustrate & Improve Human Resource…
NEW Nacha Rule - Third-Party Sender (TPS) Roles and Respons…
FDA Technology Modernization Action Plan (TMAP) and Impact …
Paying and Receiving Payments for Referrals: You Can Go to …
Validation Statistics for Non-Statisticians
Construction Lending And Real Credit Administration: Evalua…
Human Factors Usability Studies Following ISO 62366 and FDA…
Thriving in a Hybrid Workplace: Keys to Leadership and Team…
Excel Power Skills: Master Functions, Formulas, and Macros …