Case Studies

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  1. Design of Experiments Validates Corn Ethanol Measurement Technology

    June 2014
    An industrial equipment supplier wanted to find the best operating conditions, as well as determine what performance its product could deliver for ethanol producers, before putting the device on the market. A DOE was run to successfully identify and validate a measurement method that has enabled the supplier to accurately evaluate the performance of the new product in a large number of plants under a wide range of operating conditions.
    Authors: Stites, Ron
    Publication: Ethanol Producer Magazine
  2. Design of Experiments Helps Develop New Specialty Chemical Product

    June 2014
    OMG Borchers used the design of experiments method to develop a mixture experiment to screen the effects of four candidate additives. The challenge was to find a second source for an associative thickener used in a family of waterborne coatings that matched the properties of the incumbent thickener in three different classes of products with a different chemical composition than the incumbent.
    Authors: OMG Borchers
    Publication: Paint & Coatings Industry Magazine
  3. Employing Power to "Right-Size" Design of Experiments

    March 2014

    This article provides insights on how many runs are required to make it very likely that a test will reveal any important effects. Due to the mathematical complexities of multifactor Design of Experiments (DOE) matrices, the calculations for adequate power and precision (Oehlert and Whitcomb 2002) are not practical to do by 'hand' so the focus is kept at a high level--scoping out the forest rather than detailing all the trees. By example, reader will learn the price that must be paid for an adequately-sized experiment and the penalty incurred by conveniently grouping hard-to-change factors. (The article is not available on the ITEA Journal web site without membership. Click on the Download PDF link below to view the manuscript.)

    Authors: Anderson, Mark J.; Whitcomb, Patrick J.
    Publication: The ITEA Journal
  4. 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
  5. Improved Copper and Gold Recovery at KGHM International’s Robinson Mine

    January 2014

    In an effort to recover additional copper and gold at KGHM International’s Robinson Mine located near Ruth, Nevada, an in-plant study was undertaken to quantify potential flotation recoveries from the concentrator’s final tailings stream. Tests were conducted by passing a small continuous sample of final tailings through a single 1.5 m3 FLSmidth XCELL™ demonstration flotation machine. This paper reviews the results obtained from the in-plant testing with the single 1.5 m3 flotation cell and provides a comparison to the subsequent operational performance of multiple 160 m3 flotation machines

    Authors: Redden, Lorin; Stevens,Chase; O’Brien, Mark; and Bender, Thomas
    Publication:
  6. Development of a Rubber-Based Product Using a Mixture Experiment: A Challenging Case Study

    August 2013

    Experimental design, modeling, and data analysis methods for mixture experiments provide for efficiently determining the component proportions that will yield a product with desired properties. This article presents a case study of the work performed to develop a new rubber formulation for an o-ring (a circular gasket) with requirements specified on 10 product properties. Progress in Rubber, Plastics and Recycling Technology, Vol. 29, No. 3, 2013

    Note: If interested, you may contact one of the authors, Greg Piepel, Ph.D., for a copy of the paper.

    Authors: Kaya, Yahya; Piepel, Greg F.; and Caniyilmaz, Erdal
    Publication: Progress in Rubber, Plastics and Recycling Technology
  7. DOE Improves Throughput in Manufacturing of Key Intermediate

    July 2013

    Researchers improved the performance of an isolated ketoreductase (KRED) enzyme using directed evolution, and also performed two stages of design of experiments (DOE) to identify and optimize key process variables.

    Authors: Collier, Ph.D., Steve
    Publication: Pharmaceutical Manufacturing
  8. 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
  9. Cure for cratering: Gel coat perfected with design of experiments software

    February 2013

    Resin manufacturer Interplastic Corp. Thermoset Resins Div. (St. Paul, Minn.), a major gel coat producer, recently developed a new gel coat with the aid of Design-Expert design of experiments software from Stat-Ease Inc.

    Authors: Black, Sara
    Publication: Composites Technology
  10. Design of Experiments Helps Increase Yield of Pharmaceutical Intermediate from 70% to 88%

    May 2012

    Researchers at Codexis Laboratories Singapore performed a full-factorial designed experiment with 20 runs to determine the impact of four independent variables on product selectivity during a silylation reaction. The result was a process that delivered 95% selectivity along with an 88% yield

    Authors: Collier, Wilson
    Publication: Pharmaceutical Manufacturing
  11. Framing a QbD Design Space with Tolerance Intervals

    May 2012

    Given the push for Quality by Design by FDA and agencies worldwide, statistical methods are becoming increasingly vital for pharmaceutical manufacturers. DOE is used to determine the impact of multiple factors and their interaction.

    Authors: Anderson, Mark J.
    Publication: Pharma Qbd
  12. Optimal Experimental Design with R

    May 2012
    BOOK REVIEW: This book provides guidance on the construction of experiments, including sample size calculations, hypothesis testing, and confidence estimation.
    Authors: Adams, Wayne F.; Anderson, Mark J.
    Publication: Technometrics
  13. Fed-Batch Cell Culture Process Optimization

    March 2012

    Researchers aiming to upgrade a fed-batch process observed that basal and feed media have interrelated impacts on process outcomes (a pairing effect). They did a DOE enabled by Design-Expert software for fed-batch cell culture process optimization.

    Authors: Jiang, Droms, Geng, Casnocha,
    Publication: BioProcess International
  14. Using DOE with Tolerance Intervals to Verify Specifications

    March 2012

    Statistical methods are becoming increasingly vital for pharmaceutical manufacturers. Design of experiments (DOE) is a primary tool for determining the relationship between the factors that have an effect on a process and the response of that process.

    Authors: Whitcomb, Patrick J., Anderson, Mark J.
    Publication:
  15. 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

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