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Validity : 06th Jul'25 to 16th Jul'25
Monitoring the Laboratory to Prevent Non-Compliance (Statistical Process Control)
The statistics of laboratory data, Control charts, Nelson Rules, common laboratory problems that effect accuracy and precision.
Overview of the webinar
Control charts are based on the distribution of data expected in a laboratory, the Gaussian distribution of occurrences. There are well defined probabilities for the data. Guidelines for good or unacceptable behaviour are well known. The most common of these are Nelson Rules, in use for over a century. With wise selection of the variables to monitor, assessing performance can be simple.
Who should attend?
- Analysts
- Lab Supervisors and Managers
- QA Managers and Personnel
- Consultants
- Validation Specialists
- Chemists and laboratory assistants who perform analyses under GLP or ISO 17025
Why should you attend?
Compliance under GLP can be difficult. The setting up of a system to monitor performance of methods and instruments can lessen this. Statistical Process Control (SPC) uses control charts and statistical guidelines to monitor a wide variety of things in the compliant laboratory. These generate a proactive system to assess problems early on and quickly to be handled by adjustments rather than the strict situation of a non-compliance event.
Faculty - Dr.John Fetzer
Dr. John C. Fetzer, PhD offers over 20 years of expertise in Analytical Chemistry, focusing on Polycyclic Aromatic Hydrocarbons, Petroleum and its Products, Chromatography, and UV and Fluorescence Spectroscopy. He offers Analytical Chemistry Consulting Services and Scientific Career Development Consulting services to companies, organizations, and individuals. Dr. Fetzer has over a decade of experience as a supervisor, team leader, trainer, and coach. He has published over 100 peer-reviewed scientific publications, 2 books, and 8 book chapters.
Dr. Fetzer is an American Chemical Society tour speaker, who has participated in over twenty invited lectures at conferences, universities, and government laboratories.