Case Studies

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  1. Modern DOE Doubles Medical-Device Production Rate at Half the Variation

    January 2019
    Engineers at a major medical device manufacturer used RSM to successfully model a key process for their flagship product. The RSM model then became the foundation for development of robust specifications to ensure quality at six sigma levels.
    Authors: Anderson, Mark
    Publication:
  2. How to Properly Size Response Surface Method Experiment (RSM) Designs for System Optimization

    March 2016
    By sizing experiment designs properly, test and evaluation (T&E) engineers can assure they specify a sufficient number of runs to reveal any important effects on the system. For factorial designs laid out in an orthogonal matrix this can be done by calculating statistical power (Anderson and Whitcomb, 2014). However, when a defense system behaves in a nonlinear fashion, then response surface method experiment (RSM) designs must be employed (Anderson and Whitcomb, 2005). The test matrices for RSM generally do not exhibit orthogonality, thus the effect calculations become correlated and degrade the statistical power. This in turn leads to inflation in the number of test runs needed to detect important performance differences that may be generated by the experiment. A generally acceptable alternative to sizing designs makes use of fraction of design space (FDS) plots. This article details the FDS approach and explains why it works best to serve the purpose of RSM experiments done for T&E.
    Authors: Mark J. Anderson, Wayne F. Adams, Pat J. Whitcomb
    Publication: ITEA Journal
  3. Practical Aspects for Designing Statistically Optimal Experiments

    March 2014
    Due to operational or physical considerations, standard factorial and response surface method (RSM) design of experiments (DOE) often prove to be unsuitable. In such cases a computer-generated statistically-optimal design fills the breech. This article explores vital mathematical properties for evaluating alternative designs with a focus on what is really important for industrial experimenters. To assess “goodness of design” such evaluations must consider the model choice, specific optimality criteria (in particular D and I), precision of estimation based on the fraction of design space (FDS), the number of runs to achieve required precision, lack-of-fit testing, and so forth. With a focus on RSM, all these issues are considered at a practical level, keeping engineers and scientists in mind. This brings to the forefront such considerations as subject-matter knowledge from first principles and experience, factor choice and the feasibility of the experiment design.
    Authors: Anderson, Mark J.; Whitcomb, Patrick J.
    Publication: Journal of Statistical Science and Application V2, N3, March, pp 85-92
  4. Microscale Analysis and DoE

    June 2013

    Design of experiments (DoE) incorporates statistical methods and multivariate analysis into microscale chemistry. Controlled experiments help analysts evaluate processes with that involve several variables, such as temperature and osmolality in cell culture processes. Often three variables are studied together, with the results expressed in a three-dimensional response-surface graphs

    Authors: Scott, Cheryl
    Publication: BioProcess International
  5. Widespread suppression of huntingtin with convection-enhanced delivery of siRNA

    January 2012

    This article explores a therapeutic strategy for treating Huntington's disease.

    Authors: Stiles, Zhang, Ge, Nelson, Grondin, Ai, Hardy, Nelson, Guzaev, Butt, Charisse, Kosovrasti, Tchangov, Meys, Maier, Nechev, Manoharan, Kaemmerer, Gwost, Stewart, Gash, Sah
    Publication: Pharma Qbd
  6. Design-Expert Diagnostics Saves Experiment (and Post-Grad Student)

    August 2011

    Design-Expert's features for checking design properties including diagnostics helped a student achieve a valid analysis

    Authors: Mullenix, Paul
    Publication:
  7. Two-step optimization for product design takes manufacturing variability into account

    July 2011

    The TRW team used a combination of DOE (response surface methodology RSM) and Monte Carlo analysis to optimize a braking system where one of the objectives was to quickly generate pressure when demanded by the vehicle stability control system.

    Authors: TRW
    Publication: Digital Engineering
  8. Software for Fine-Tuning Flotation Cells

    April 2011

    FLSmidth recently installed two turnkey SuperCell flotation machines the world's largest flotation cells at Rio Tinto's Kennecott Utah Copper concentrator near Salt Lake City, Utah. They used DOE to substantially reduce the amount of testing and fine-tuning required after installation.

    Authors: F. L. Smidth
    Publication: E&MJ Engineering & Mining Journal
  9. Using Design of Experiments to Optimize Chiral Separation

    September 2010

    This article discusses what to look for in DOE software in the pharmaceutical industry.

    Authors: Roche
    Publication: Pharmaceutical Manufacturing
  10. Design of Experiments Reduces Time to Market

    June 2010

    The Dresser Waukesha development team adopted the design of experiments (DOE) approach to increase the accuracy of performance estimates and reduce the number of required tests.

    Authors: Dresser Waukesha
    Publication: Power
  11. Design-Expert Software Enables Z Corp Printer Design

    March 2010

    Design of experiments (DOE) solution from Stat-Ease helps Z Corporation develop its unique 3D color printers.

    Authors: Z Corp
    Publication: Product Design & Development
  12. Design of Experiments Helps Z Corporation Develop Unique 3D Color Printers

    March 2010
    To accelerate their product development, Z Corporation tooled up their engineers with the knowledge and software to do statistical design of experiments (DOE). The company developed a procedure by which every factor with a reasonable chance of affecting product performance is systematically and simultaneously evaluated via these controlled experiments.
    Authors:
    Publication:
  13. Hypersonic Laminar-Turbulent Transition Experiment Design: From wind tunnel model definition to MDOE Approach

    January 2010

    Design of Experiments was used to study the laminar-turbulence transition phenomenon in a Hypersonic regime on a 3-deg half-angle sphere-cone model.

    Authors: Marino, A. et. al.
    Publication: SixSigmaIn
  14. Design of Experiments Helps Optimize Cell Culture Bioproduction System

    August 2009

    To handle numerous variables Invitrogen Corporation utilized design of experiments (DOE) methods to reveal a complicated array of multi-factor interactions involved in bioprocess development.

    Authors: Invitrogen
    Publication: BioProcess International
  15. Design of Experiments Helps Improve the Robustness of Off-Highway Vehicle Coating

    July 2009

    An agricultural equipment manufacturer asked Henkel to help optimize a tough coating application using DOE

    Authors: Henkel Corp.
    Publication: SAE Off-Highway Engineering

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