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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
How you will benefit:
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..
$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).