Are you unsure which process variables have an impact on the output of your process? Are there too many variables to address? If so, it’s time to consider a designed experiment. In this course, learn the fundamental concepts of widely used DOE methodologies in a logical and practical sequence. These concepts will help you gather valuable information about how process variables behave and interact with each other for significantly less cost.

Course 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.

Main 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 MinitabTM 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.

This course requires the use of Minitab^TM statistical software; attendees are responsible for bringing laptops with Minitab^TM 15 to the class.

CEUs: 2.5
Number of Days: 3