This seminar is unlike anything you have ever seen before, taught from the persepctive of how the tools fit the problems rather than how the problems fit the tools!
Engineers, technicians, and six sigma practitioners on every level will learn a coherent, integrated approach, combining techniques taught in traddtional engineering statistics courses with the process improvement techniques of SPC.
The course is organized around eleven different data analysis problems, involving different types of response variables and different numers and types of input variables. Within each type of problem, the data analysis techniques are arranged in order, beginning with the general, easy-to-use tools, and progressing through more sophisticated and narrowly focused procedures. This approach gives students immediate access to a range of appropriate techniques they can use to analyze their data.
Because of this unique organization, the complete mastery of each step is not required for effective use, making the class suitable for both beginners and experienced users, with useful examples for both groups.
Moreover, by emphasizing when and how to use the techniques, this course complements any statistical software package you may be using. ANd you will learn to perform meaningful and appropriate analyses without using any software at all.
In addition to the survey of statistical techniques, you will also learn how to use the economic justification for taking action—the Effective Cost of Production and Use. By using this in a coherent, organized program of process improvement you can choose the right projects and the right improvement strategies. When combined with the knowledge of which techniques to use, this approach to process improvement makes you highly effective in analyzing and using data.
This seminar may be customized upon request. In that case, you will consult with Dr. Wheeler about topic options, number of days, and books that might be needed.