Case Studies

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  1. A Sticky Optimization

    February 2006
    This paper demonstrates a statistical methodology that builds on subject-matter knowledge to objectively fine-tune both processes and product formulations.
    Authors: Kraber, Shari L.
    Publication: Adhesives and Sealants Industry
  2. A Sticky Situation

    January 2006
    Technical professionals in the pressure sensitive adhesives area are highly skilled and educated in tape-making processes.
    Authors: Kraber, Shari L.
    Publication:
  3. PCR Process Optimized via Split-Plot DOE

    May 2005

    This paper illustrates the use of design of experiments (DOE) and split-plot design to quickly and effectively determine the factor settings that maximize amplification in a polymerase chain reaction (PCR) experiment. As presented at the 2005 ASQ World Congress.

    Authors: Whitcomb, Pat & Kraber, Shari
    Publication: Conference
  4. Benefits of Standard Factorial Designs

    January 2005
    Standard factorial designs (one array) offer a cost effective and informational-efficient robust design alternative to parameter designs (two array) made popular by Taguchi.
    Authors: Anderson, Mark J.; Kraber, Shari L.
    Publication: Society of Manufacturing Engineers
  5. Assay Automation

    June 2004
    Optimizing biological assay conditions is a demanding process that scientists face daily.
    Authors: Erbach, Thomas; Fan, Lisa; Kraber, Shari L.
    Publication: ADVANCE for Medical Laboratory Professionals
  6. Keys to Successful Design of Experiments

    January 2004
    Italian translation: Soluzioni per un Doe coretto (Reference Number: 1431)
    Authors: Anderson, Mark J.; Kraber, Shari L.
    Publication: Unpublished
  7. Soluzioni per un Doe corretto

    January 2004
    Transtlation of Keys to Successful Design of Experiments (Reference Number: 1308)
    Authors: Anderson, Mark J.; Kraber, Shari L.
    Publication: Automazione e Strumentazion
  8. Using Design of Experiments to Make Processes More Robust to Environmental and Input Variations

    February 2003

    This article explains why standard factorial designs (one array) offer a cost-effective alternative to parameter designs (two array) made popular by Taguchi. It then discusses advanced tools for robust design that involve application of response surface methods (RSM) and measurement of propagation of error (POE). Requires login to view.

    Authors: Anderson, Mark & Kraber, Shari
    Publication: Paint & Coatings Industry
  9. Cost-Effective and Information-Efficient Robust Design for Optimizing Processes and Accomplishing Six Sigma Objectives

    January 2002

    Standard factorial designs (one array) offer a cost-effective and information-efficient robust design alternative to parameter designs (two -array) made popular by Taguchi. This paper compares these two methods (one-array versus two-array) in depth via an industrial case study. It then discusses advanced tools for robust design that involve application of response surface methods (RSM) and measurement of propagation of error (POE).

    Authors: Anderson, Mark & Kraber, Shari
    Publication:
  10. Eight Keys to Successful DOE

    July 1999

    Quality managers who understand how to apply statistical tools for design of experiments (DOE) are better able to support use of DOE in their organizations. Ultimately, this can lead to breakthrough improvements in product quality and process efficiency.

    Authors: Anderson, Mark J. & Kraber, Shari L.
    Publication: Quality Digest
  11. Keys to Successful Designed Experiments

    July 1999

    This article was presented at the Quality Management Division of American Society for Quality conference.

    Italian Translation

    Authors: Anderson, Mark J. & Kraber, Shari L.
    Publication: Conference
  12. Revealing Interactions From Fractional DOEs

    January 1999
    Fractional two-level factorials are a powerful tool for making significant improvements to product quality and process efficiency.
    Authors: Anderson, Mark J.; Kraber, Shari L.
    Publication: ASQC 52nd Annual Quality Congress Proceedings 5/98

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