The Use of Statistical Process Control (SPC) Using Control Charts to Maintain Compliance in the Laboratory
  • CODE : FETZ-0058
  • Duration : 60 Minutes
  • Level : Intermediate
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John C. Fetzer, has had over 30 year experience in laboratory compliance, including developing methods, writing SOPs, training, and auditing. He has served on the editorial advisory boards of the Journal of Chromatography, Analytical Chemistry, and Analytical and Bioanalytical Chemistry.

Compliance under GLP can be difficult. The setting up of a system to monitor the 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.

Setting up intermediate monitoring of key stages in the methodology can observe deviations from the desired behavior before non-compliance occurs. How to choose these is individual to each methodology, but a strategy will be given to help choose ones that are useful.

Areas Covered

How to understand control charts and their underlying statistics, how to choose variables to monitor, how to maintain the records and to plan adjustments. There will be examples and walkthroughs of control chart implementation and use. A review of the relevant statistics will also be done.

Course Level - Intermediate

Who Should Attend

Chemists and laboratory assistants who perform analyses under GLP or ISO 17025.

Topic Background

Control charts are based on the normal distribution of data expected in a laboratory operation, the Gaussian distribution of occurrences. There are well-defined probabilities for the data. Whether it is the overall performance of a test method, the performance of a device or instrument, the behavior of a calibration curve, the peak shapes in chromatography, or many other variables, the maintenance of good performance and the observation of statistically unlikely patterns can be useful. Guidelines for good or unacceptable behavior are well known. The most common of these are the Nelson Rules, in use for over a century. With a wise selection of the variables to monitor, assessing performance can be simple.
  • $199.00



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