Course Goal

Participants are able to

• Relate the Sparsity Effect with RSM execution in Minitab 15
• Create and Analyze RSM using Minitab 15
• Define and Analyze RSM using historical data using Minitab 15
• Recognize the correct method of executing RSM

Who Should Attend

Anyone using MINITAB to analyze or to present data can benefit from training. Whether you are a quality professional, an engineer, a scientist, a manager, an analyst, a consultant, or an instructor, you will gain knowledge and skills that allow you to become more productive and efficient in your statistical and Six Sigma analyses.

Course Duration

• 2 Days

Benefits

The participants will be able to gain benefits by expanding knowledge of basic 2 levels full and fractional factorial designs to those that are ideal for process optimization, learning how to use Minitab’s DOE interface to create response surface designs, analyze experimental results, and find optimal factor settings learning how to experiment in the real world by using techniques such as sequential experimentation that balance the discovery of critical process information while being sensitive to the resources required to obtain that information and learning how to find factor settings that simultaneously optimize multiple responses.