This course will prepare you to unlock the secrets to your processes --- what are the key process configuration variables, their effects on the final process outputs – products, service or administrative task -- they produce and how to combine them optimally to give you the results you and your customers need. In 1 ½ days you will learn how to design an experiment, how to make sure it tells you what you want to learn from it, how to find the sweet spots for the processes outputs important to you, how to define process windows, and how to look for opportunities to build-in robustness. You will not only learn the underlying concepts important to assuring your ability to design effective experiments but will have plenty hands-on experience opportunities to practice your new skills on simulated and live processes.
A laptop is required for this course.
A basic understanding of statistics is preferable. Concepts such as histograms, distributions, mean and standard deviation, area under the normal curve, and the central limit theorem are helpful but will be reviewed in the course. Prior training in regression analysis and hypothesis testing isn’t required as we will teach the applicable principles as part of this course; however, they provide an excellent preparation.