Faculty: John E. Lincoln | Code: FDB3551
Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. It is one of the fifteen subpart requirements of the US FDA’s QS Regulation, 21 CFR 82, the Medical Device cGMP’s. It can be a key tool in meeting the Production and Process Control (P&PC) requirements of those same CGMPs and those of the Drug CGMPs, 21 CFR 211. SPC used in P&PC and the required periodic quality system analysis, helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste (rework or scrap). SPC provides advantages in any production process where the “conforming product” (product meeting specifications) output can be measured.
Why You Should Attend:
This webinar will define what are the US FDA’s expectation for the use of statistical techniques, e.g., 21 CFR 820.25, for establishing, controlling , and verifying the acceptability of process capability and product characteristics, sampling plan justifications for product acceptance or validation and other studies. Increasingly regulatory agencies require trend analysis for non-conformances, complaints, and CAPAs as part of CGMP compliance. Subject areas considered are:
– SPC in production, test and lab equipment
– Sampling plan justification
– Verifications and validations
– Trending: Non-conformances, complaints, and CAPAs
Areas Covered in the Session :
Who Should Attend:
John E. Lincoln, is Principal of J. E. Lincoln and Associates LLC, a consulting company with over 36 years experience in U.S. FDA-regulated industries, 22 of which are as an independent consultant. John has worked with companies from start-up to Fortune 100, in the U.S., Mexico, Canada, France, Germany, Sweden, China and Taiwan. He specializes in quality assurance, regulatory affairs, QMS problem remediation and FDA responses, new / changed product 510(k)s, process / product / equipment QMS and software validations, ISO 14971 product risk management files / reports, Design Control / Design History Files, Technical Files, CAPA systems and analysis.
He’s held positions in Manufacturing Engineering, QA, QAE, Regulatory Affairs, to the level of Director and VP (R&D). In addition, John has prior experience in military, government, electronics, and aerospace. He has published numerous articles in peer reviewed journals, conducted workshops and webinars worldwide on CAPA, 510(k)s, risk analysis / management, FDA / GMP audits, validation, root cause analysis, and others. He writes a recurring column for the Journal of Validation Technology. John is a graduate of UCLA.