Monitoring a Quality Laboratory to Prevent Non-Compliance (Statistical Process Control)

Overview:

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.

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.

Areas Covered in the Session:

• The statistics of laboratory data, Control charts, Nelson Rules
• Common laboratory problems that effect accuracy and precision

Who Will Benefit:

• Chemists and Laboratory Assistants who Perform analyses under GLP or ISO 17025