Process SPC 
Statistical Process Control (SPC) charts are used in industrial and business settings to monitor selected variables over time against historic measures of central tendency and variation. Unusual values (outliers) are identified. Sometimes these out of the ordinary observations indicate a deterioration; others indicate an improvement. In either case, the cause of the outlier should be investigated. Then changes should be made to correct the problem or to perpetuate the success.

Lab and Analyzer SQC 
Statistical Quality Control (SQC) is used to monitor the performance of Laboratory methods and Analyzers over time against historic measures of central tendency and variation. It provides Quality Assurance (QA) for the instruments and results. Typically, a standard or reference material is run at designated intervals. Results are plotted on a Quality Control Chart and checked for irregularities. Below are questions to consider. 

  • How much historical data is needed to establish typical method or instrument behavior, and how is this data generated? 
  • What types of QC charts are appropriate? 
  • How frequently should the standard or reference material be run? 
  • How is the information recorded and who records it? 
  • What data values are considered out of the ordinary? How do you determine this? 
  • What actions should be taken? 
  • How is corrective action documented? 
  • How do changes in the standard, reference material, method, or instrument affect the QC charts? 
  • Who makes these changes? 
  • Do you use software that suits your needs, or do you run your lab to suit the software? 

"Your decisions are only as good as your samples."

Sign up here to receive a quarterly one page 
E-Newsletter from Alpha Stat Consulting. 
You can unsubscribe or resubscribe at any time.
Email:

Newsletters | About the Owner | Bulk Sampling Short Course
Bulk Sampling
| Six Sigma | SPC, QC, QA |
Data Analysis
Implementation of Systems and Processes | Consulting  & Training | Home


E-mail: 
alpha@alphastat.com

© 2001 All Rights Reserved