World Library  
Flag as Inappropriate
Email this Article

Multifactor design of experiments software

Article Id: WHEBN0028759513
Reproduction Date:

Title: Multifactor design of experiments software  
Author: World Heritage Encyclopedia
Language: English
Subject: Design of experiments, List of statistics articles
Collection: Design of Experiments, Science Experiments, Statistical Software
Publisher: World Heritage Encyclopedia

Multifactor design of experiments software

Software that is used for designing factorial experiments plays an important role in scientific experiments and represents a route to the implementation of design of experiments procedures that derive from statistical and combinatorial theory. In principle, easy-to-use design of experiments (DOE) software should be available to all experimenters to foster use of DOE.


  • Background 1
  • Use of software 2
  • Notes 3
  • External links 4


Use of software

Factorial experimental design software drastically simplifies previously laborious hand calculations needed before the use of computers.

During World War II, a more sophisticated form of DOE, called factorial design, became a big weapon for speeding up industrial development for the Allied forces. These designs can be quite compact, involving as few as two levels of each factor and only a fraction of all the combinations, and yet they are quite powerful for screening purposes. After the war, a statistician at Imperial Chemical, response surfaces for process optimization.[1] From this point forward, DOE took hold in the chemical process industry, where factors such as time, temperature, pressure, concentration, flow rate and agitation are easily manipulated.

DOE results, when discovered accurately with DOE software, strengthen the capability to discern truths about sample populations being tested: see Sampling (statistics). Statisticians[2][3] describe stronger multifactorial DOE methods as being more “robust”: see Experimental design.

As DOE software advancements gave rise to solving complex factorial statistical equations, statisticians began in earnest to design experiments with more than one factor (multifactor) being tested at a time. Simply stated, computerized multifactor DOE began supplanting one-factor-at-a-time experiments. Computer software designed specifically for designed experiments became a commercial reality in the 1980s—available from various leading software companies such as JMP, Minitab and Design-Expert.

Notable benefits when using DOE software include avoiding laborious hand calculations when:

  • Identifying key factors for process or product improvements.
  • Setting up and analyzing general factorial, two-level factorial, fractional factorial and Plackett–Burman designs.
  • Performing numerical optimizations.
  • Screening for critical factors and their interactions.
  • Analyzing process factors or mixture components.
  • Combining mixture and process variables in designs.
  • Rotating 3D plots to visualize response surfaces.
  • Exploring 2D contours with a computer mouse, setting flags along the way to identify coordinates and predict responses.
  • Precisely locating where all specified requirements meet using numerical optimization functions within DOE software.
  • Finding the most desirable factor settings for multiple responses simultaneously.

Today, factorial DOE software is a notable tool that engineers, scientists, geneticists, biologists, and virtually all other experimenters and creators, ranging from agriculturists to zoologists, rely upon. DOE software is most applicable to controlled, multifactor experiments in which the experimenter is interested in the effect of some process or intervention on objects such as crops, jet engines, demographics, marketing techniques, materials, adhesives, and so on. Design of experiments software is therefore a valuable tool with broad applications for all natural, engineering, and social sciences.


  1. ^ Box and Wilson (1951), "On the Experimental Attainment of Optimum Conditions," Journal of the Royal Statistical Society, Series B, 13,1
  2. ^ Mark J. Anderson & Patrick J. Whitcomb (2000), DOE Simplified: Practical Tools for Effective Experimentation, 2nd Edition by ISBN 1-56327-225-3, Pg. 42
  3. ^ Mark J. Anderson & Patrick J. Whitcomb (2004), RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Productivity Press. ISBN 1-56327-297-0, pg. 4

External links

  • Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 3rd Edition
  • Design and Analysis of Experiments, 8th Edition
  • DOE Simplified: Practical Tools for Effective Experimentation, 2nd Edition
  • RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments
  • Warning Signs in Experimental Design and Interpretation
  • NIST Eng. Stats Section 5 Process Improvement
This article was sourced from Creative Commons Attribution-ShareAlike License; additional terms may apply. World Heritage Encyclopedia content is assembled from numerous content providers, Open Access Publishing, and in compliance with The Fair Access to Science and Technology Research Act (FASTR), Wikimedia Foundation, Inc., Public Library of Science, The Encyclopedia of Life, Open Book Publishers (OBP), PubMed, U.S. National Library of Medicine, National Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health (NIH), U.S. Department of Health & Human Services, and, which sources content from all federal, state, local, tribal, and territorial government publication portals (.gov, .mil, .edu). Funding for and content contributors is made possible from the U.S. Congress, E-Government Act of 2002.
Crowd sourced content that is contributed to World Heritage Encyclopedia is peer reviewed and edited by our editorial staff to ensure quality scholarly research articles.
By using this site, you agree to the Terms of Use and Privacy Policy. World Heritage Encyclopedia™ is a registered trademark of the World Public Library Association, a non-profit organization.

Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.