CQAS Seminars

 

Reducing Variation With SPC

 

Statistical Process Control (SPC) provides the means for the control of product quality and the reduction of process variation. For success you need to know how to collect data, understand the concepts of variation, select the appropriate chart for your process, and interpret the results. This seminar also shows participants how to use MINITAB® software to analyze SPC data sets and produce various control charts. 2.1 CEUs

 

Topics include:

• Variability and randomness
• Definition of “process”
• Process capability
• Central limit theorem
• Normal and binomial distributions
• Special cause & assignable cause variation
• X-bar and R Charts, plus charts for individual observations
• p, np, c, and u charts
• The role of SPC in total quality
• SPC using MINITAB®

 

How you will benefit:

• Learn how to choose the best control chart
• Understand how to collect data to set up a control chart
• Be able to construct and interpret control charts
• See how to use control charts and process capability to improve quality
• Learn how and when to update control charts
• Find out what other statistical methods augment control charts
• Actually use a computer software package to manage SPC data

 

Who should attend

 

Supervisors, engineers and lead technical personnel in manufacturing environments and others who are involved in product operations. Individuals with limited statistical background should take the Data Analysis Using MINITAB® course first..

 

Cost

 

$895. This price includes the text, SPC Simplified: Practical Steps to Quality, by Robert T. Amsden, Howard E. Butler and Davida M. Amsden. Also, a continental breakfast and lunch is included each day.

 

Meet your instructor

 

Steven M. LaLonde recently joined CQAS as an assistant professor after twelve years at Eastman Kodak Company, where he applied statistical methods in such varied areas as the chemical optimization of KodaColor film for manufacturability; the measurement of worldwide customer satisfaction as applied to management compensation systems; and application of market research methods to evaluate marketing decisions involving product design, pricing and promotion strategy. Steve is a member of ASA, ASQ and AMA.

 

Peter Bajorski, Ph.D., is a CQAS faculty member. Prior to joining RIT, he was performing statistical consulting for a wide range of clients in engineering, finance, and management at the New York State Department of Transportation. He also served as a principal investigator of several applied-research projects. He taught and conducted research at Cornell University, the University of British Columbia, and the Technical University of Wroclaw (Poland).