Applying Design of Experiments

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 is time to consider a computer-aided designed experiment. In this workshop, 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. All concepts are illustrated with classroom experiments and analyzed using Minitab software.

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 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 applications
  • Learn how DOE thinking can help you avoid spending money on expensive data collection that may not help you understand or improve your processes.