This webinar will define what are the US FDA's expectation for the use of statistical tehniques, 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 fo non-conformances, complaints, and CAPAs as part of CGMP compliance. Subject areas considered are:
Why Should You Attend:
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 suboart requirements of the US FDA's QS Regulation, 21 CFR 82, the Medical Device CGMPS. 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 as prt of the requirements for P&PC in drug and device manufacturing under the CGMPs. They help 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.
Areas Covered in the Webinar:
Who Will Benefit:
Consultants; others tasked with mnedical product development, manufacturing, process / product / data analysis, and V&V responsibilitiesInstructor Profile:
John E. Lincoln, is Principal of J. E. Lincoln and Associates LLC, a consulting company with over 41 years experience in U.S. FDA-regulated industries, 27 years as head of his own consulting company. 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 including QMS and software validations, ISO 14971 product risk management files / reports, Design Control / Design History Files, Technical Files. 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 ptublished numerous articles in peer reviewed journals, 5 chapters in the RAPS textbook on validation, conducted workshops and webinars worldwide on CGMP subjects. John is a graduate of UCLA.
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