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Statistical Process Control (SPC) and Control Charts for Laboratory Compliance

This Webinar is Available in Recording

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Faculty: Dr. John C. Fetzer

Statistical Process Control (SPC) and Control Charts for Laboratory Compliance
Statistical Process Control (SPC) and Control Charts for Laboratory Compliance

Time & Location

This Webinar is Available in Recording

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About the event

Description


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.

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 behavior are well known. The most common of these are Nelson Rules, in use for over a century. With a wide selection of variables to monitor, assessing performance can be simple.


Areas Covered in the Session :


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