||Control Charting – A Tool for Monitoring Testing Process
||1 - Chemometrics
2 - Data Analysis
3 - Quality/Regulatory/Compliance
4 - Statistics
5 - Validation
||Polona Carson / John Carson, John Carson
||P&J Carson Consulting, LLC
||03/05/2016 - Saturday
||2 Day Course
|Course Date 2:
||03/06/2016 - Sunday
||$1050 ($1450 after 2/12/16)
|Control charts are easy to use statistical tools that allow laboratories to monitor and evaluate testing processes. Shewhart charts (I/MR, Xbar/R or Xbar/S charts) detect large shifts in process, while EWMA and CUSUM charts detect smaller shifts in the process.
Participants of this course will learn statistical concepts needed to understand how control charts work and how to implement and maintain control charts. They will also receive some practical guidance on how to use critical thinking skills to evaluate and improve testing processes.
This course was developed based on ASTM 2587 and ISO 7870-2,4,6 standards, on high level of theoretical knowledge and on many years of practical experience by both instructors.
|This course is targeted to technicians, analysts and quality engineers in analytical laboratories of any industry.
* Statistical Process Control (SPC) in Analytical Laboratory
o Requirements for monitoring of testing processes in ISO/IEC 17025 standard
o Control charts in ASTM and ISO standards
* Measurement Errors and Measurement Process Stability
o Sources of measurement errors
o Types of errors
o Cost of poor quality of measurements
* Natural Variability and Special Cause Variability
o Natural or inherent variability of testing process
o Types of most common testing data distributions
o Special Cause Variability
o Concept of control chart
* Types of Control Charts
o Shewhart Control Charts (X-bar/R, X-bar/S, I/MR)
o Time Weighted Control Charts (EWMA, CUSUM)
* Phase 1 in Control Charting
o Selecting control sample
o Collecting initial data
o Evaluating and improving testing process
o Assigning initial control limits
* Phase 2 in Control Charting
o Monitoring testing process
o Reacting to signals of process instability
o Reassessing and adjusting control limits
* Case Study
o Example of Control charting application
Course Instructor's Biography
|This course is taught by husband and wife, John H Carson Jr, PhD statistician and Polona K Carson, PhD, MBA analytical laboratory quality specialist. In his early career, John Carson started as a field remediation technician and while working obtained BA in mathematics and MS and PhD in mathematical statistics. He has worked on many projects involving application of statistics to problems in quality, analytical chemistry and environmental analysis. A few selected projects include development of a new method for determining lower limits of quantitation for measurement in analytical chemistry (LCMRL), response to the anthrax attacks, statistical models and a database system for the use of clams in real-time toxicity testing of drinking water sources.
Polona Carson has almost 20 years of experience in analytical laboratory. She has a BS in Chemistry, MS and PhD in Agronomy (soil science) and Masters in Business Administration. She started as an intern in forestry laboratory and later became manager of this laboratory. She was a representative of Slovenia on Expert Panels for Laboratory Quality for European Forest Monitoring Program. She led implementation of laboratory quality ISO/IEC 17025, implemented and managed proficiency testing program for a network of 10 company testing laboratories in manufacturing and developed and led training for laboratory personnel.
In 2007 Carson’s started P&J Carson Consulting, LLC to share their complementary expertise in statistics, analytical chemistry and testing laboratory quality by offering professional training, statistical consulting services, consulting and coaching to testing laboratories and to engineers and scientists using testing data.