Case Studies

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  1. 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:
  2. 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
  3. 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
  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. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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:
  11. 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
  12. DOE It Yourself

    November 2011

    Fun science projects

    Authors: Anderson, Mark J.
    Publication:
  13. Sensory and Chemical Characteristics of Worts Fermented by Leuconostoc citreum and Saccharomyces cerevisiae and Consumer Acceptability with Added Flavorings

    November 2011

    This study was conducted to examine the chemical and sensory characteristics of fermented worts and consumer acceptability according to added flavorings.

    Authors: Shin, Delgerzaya, Lim, Park, Kim
    Publication: Food Science & Biotechnology
  14. Design of Experiments for Non-Manufacturing Processes: Benefits, Challenges, and Some Examples

    November 2011
    Design of experiments (DOE) is a powerful technique for process optimization that has been widely deployed in almost all types of manufacturing processes and is used extensively in product process design and development.
    Authors: Anderson, Mark J.; Antony, Jiju; Coleman, Shirley Y.; Johnson, Rachel T.; Montgomery, Douglas C.
    Publication: Procedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
  15. 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:

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