This webinar will define what are the US FDA's expectation for Production and Process Control / Product Realization, the use of statistical tehniques, 6 sigma, SPC, for establishing, controlling , and verifying the acceptability of process capability and product characteristics, product acceptance or validation and other studies. Non-conformance, OOS, deviations Failure Investigations, and Root Cause Analysis, PDCA, DMAIC, and similar project drivers to improvement, A# and similar dash boards.
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 reqirements 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:
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