Essential Statistical Methods: Statistical Process Control (SPC) Concepts & Techniques

Workshop Description

 

Statistical process control is a powerful and necessary key ingredient in any strategy to improve quality, productivity, and competitive position. This claim is supported by the work of Deming, Juran, Ishikawa and Taguchi in Japan, as well as that of Shewhart, Rickmers, Chambers and others in the U.S. Many companies are now demanding that suppliers utilize SPC in meeting contractual specifications.

This two-day course teaches the intermediate statistical theory, concepts and techniques needed to implement or enhance a statistical process control system in your organization. You will learn how to collect and analyze data to produce meaningful conclusions about your processes and how to improve them. You will also learn about process capability studies and construct statistical process control charts for processes with outputs measured with variables data (or measurements) as well as attributes (defectives) and counts (defects) data. More importantly, you will learn to take or recommend appropriate action based on the results of your analysis. 


Workshop Topics

 

  • Adopting A Systems Perspective

  • Some Basic Statistical Tools

  • Theory of Variation

  • Control Charts for Variables Data

  • Transformation Model: The Deming Philosophy and the “System of Profound Knowledge”

  • Control Charts for Attributes and Counts Data

  • Basic Procedure for Improving a System

     

Who Should Attend?

Engineers, scientists, managers and support staff in manufacturing or service industries, as well as employees who will be required to use SPC in their work. The course material is also designed for people who will serve as in-house trainers, project team facilitators, and/or in-house statisticians in their organizations' process improvement efforts. This seminar is most beneficial when a team from your organization attends together.

Testimonials

 

"This is the first Statistical Process Control training that helped me understand the basics behind the method." — lya Pokidov, Principal Mechanical Engineer, MKS Instruments

"Professor Leonard has passion about exploring data and then using analytical techniques to find out how best to improve a process. Specifically, he was able to show me how to cut through the fog to get to the very practical uses of SPC." — Walter Towner, President, Satellite Viewpoint LLC

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