Statistical training programs
You will appreciate the hands-on style
of my statistical training courses. Don't sit through days of power-point slides. You will learn by doing interesting hands-on case-studies and analysing your own data.
Design of Experiments
DOE is all about finding the right combination of variables to get the desired performance.
In this three-day design of experiments course, you will run a series of experiments
in-class to unlock the secrets of variation. You will surprise yourself about how
much you can learn with DOE about even a simple process. Click here for more info.
Improving measurement
Without good measurement we cannot control our processes or manage our businesses. It is that simple.
Do you know how good the measurements are that you use to control your processes?
Do you know what a ‘good’ measurement is?
Do you know how to find out?
Do you know how to control a measurement process so that the measurements remain ‘good’?
In this two-day course you will get answers to these questions with an elightening
series of case studies using the "wave tank." For more imnformation on the course click here. For additional information on my services related to measuring performance, please click here.
Integrated Process Management
IPM is a total system for controlling business processes. In this two-day course,
you will learn to design and lead the implementation of this proven method for
increasing productivity and controlling processes. While IPM has some similarities with Lean Six-Sigma, it emphasizes systematic control of processes and deemphasizes projects and front-end training. Click here for more info.
Regression and Advanced Process Control
Many processes will never be "in-control" in the sense of classical control charts, but they may be statistically stable. In this three-day course you will learn advanced methods for analyzing non-stationary processes typically found in the process industries. You will also learn how to apply regression and other data mining techniques to find the causes of variation.
Click here for more info.
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