1. Resource Center
  2. White Paper

Optimizing Processes with Design of Experiments


Design of experiments, or DOE, offers a practical approach for exploring multifactor opportunity spaces. By actively manipulating factors according to a pre-specified design, you efficiently gain useful new understanding – even when you lack all the data needed to solve a problem.

This paper includes real-world case studies that describe how two organizations discovered best practices for collecting and analyzing new, relevant data simply and quickly. It is recommended reading if:

  • You need an efficient way to determine which process changes will yield the greatest gains.
  • Your organization has outgrown one-factor-at-a-time experimentation.
  • In the rush to get answers, you are sometimes forced to cut corners, limiting your understanding of the real drivers of process robustness, effectiveness and efficiency.
  • The time devoted to attempts at problem-solving curtails opportunities for innovation and process improvement.
*
*
*
*
  Please subscribe me to JMP Newswire, the monthly newsletter for JMP users.
  Yes, you may send me emails occasionally about JMP products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.

JMP Statistical Discovery LLC. Your information will be handled in accordance with our Privacy Statement.