Objectives

• Learn how DOE can be used to characterize or improve processes.
• Recognize the advantages of experimenting by changing variable settings simultaneously (instead of one at a time).
• Learn how to screen variables to determine which are indeed factors in your process.
• Learn how to go beyond screening to determine the settings for the variables that will produce the best results for the output variable.
• Recognize ways and procedures to reduce the number of experimental trials and still obtain sound results that will help you characterize or improve your process.
• Learn about other DOE methodologies that may be useful to your own business applications.
• Recognize how DOE thinking can help you avoid spending money in expensive data collection that may not help you understand or improve your processes.

Topics

• Introduction to DOE
• The factorial approach to DOE
• Designing an experiment
• Conducting an experiment
• Analyzing an experiment
• Reducing experimental trials (other factorial designs)
• Evolutionary operations (EVOP)
• Full-factorial designs with more than two levels
• Response surface methodology (RSM)
• Mixture experiments
• Using Minitab^TM in support of statistical tools

Who Should Attend

Managers and professionals who are engaged in process improvement activities, as well as related quality, engineering, R&D, manufacturing, process, and industrial personnel. Also valuable for anyone involved in a Lean and/or Six Sigma deployment.