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 is a division of SAS Institute Inc. Your information will be handled in accordance with the SAS Privacy Statement.


Back to Top