A list of talks with short descriptions, times & speaker names is shown below. For the full abstracts, click "Abstracts" above. To read about the speakers, click "Bios."
Tuesday, October 4
(9am-12pm US Central)
Hour 1: The Magic of Multifactor Testing
Mark Anderson, Stat-Ease
Mark spells out a fun physics experiment that illustrates the advantage of multifactor testing over the traditional one-factor-at-a-time (OFAT) scientific method. See how he, along with grandson Archer, uncovered multiple interactions that surprisingly canceled out OFAT main effects. Their home experiment on bouncing balls affirms the application of DOE for building profound data-driven process knowledge.
Hour 2: Case Cracked: Setting Process Windows with Design-Expert
Paul Mullenix, Quality Support Group
We use a real-life example to illustrate how specifications on inputs called process windows can be set statistically to ensure a given performance on a response. This DOE has hard-to-change factors, so you will also learn how a series of optimal split-plot designs provides the best data analysis.
Hour 3: Process Characterization in the Pharma Industry
JoAnn Coleman, Spark Therapeutics
Learn the steps taken to plan, design, and analyze a process characterization DOE to achieve understanding of the proven acceptable range for each unit operation for a multi-unit process, such as a cell-based process with up- and down-stream components.
Wednesday, October 5
(10am-3pm US Central)
Hour 1: The Power of the Curve
Arved Harding, Eastman Chemical Company
SE360 combined with Python make curve analysis easy! Learn how Eastman is ramping up their DOE methods with non-linear responses.
Hour 2: Python and the Holy Grail: Developing Superior Data analysis methods (a.k.a. DSDs with SE360)
Paul Nelson & Andrew Macpherson, Prism Training & Consultancy
We will demonstrate how SE360’s Python integration offers flexibility and extensibility, and has allowed us to implement a recommended design-oriented analysis method that fully exploits the unique structure of the Definitive Screening Design (DSD).
Hour 3: BREAK
Hour 4: Using Python in SE360: A Tutorial
Hank Anderson, Stat-Ease
Abstract coming soon.
Hour 5: Mixture DOE Done Right
Martin Bezener, Stat-Ease
Martin lays out common mistakes made by formulators aiming to optimize their product recipes. Via several industrial case studies, he explains how mixture DOE overcomes these pitfalls. Join him for a practical presentation (no theory!) packed with tips and tricks that you can immediately apply to catalyze your R&D.
Thursday, October 6
(10am-3pm US Central)
Hour 1: DOE in Horticultural Research
Randall Niedz, US Department of Agriculture
Wow! This talk will describe five examples from laboratory, greenhouse, and field studies of in vitro breeding/genetics, horticulture, and entomology research at the USDA lab and the DoE approaches used. The DoE designs used include fractional factorials, response surface, mixture, and mixture-amount designs.
Hour 2: Saving the Mega Blaster from Disaster
Lou Johnson, JMC Data Experts
A $400 million product line was in jeopardy at Best Choice Products. Researchers had to deal with the complexity of a comprehensive approach, hard to change factors, blocking, mechanism stability over weeks of testing and high measurement variability. This story will inspire experienced and novice researchers alike.
Hour 2.5: Application of DOE in Classic Aromatic Nitrations
Érika C.A.N. Chrisman, Federal University of Rio de Janeiro
See how the power of factorial DOE is used to optimize nitrations of aromatic compounds better than traditional experimental methods.
Hour 3: BREAK
Hour 4: Transitioning from conventional experimentation to DOE: The benefits and challenges encountered
John "Jay" Davies Jr, US Army
A DoD research program used a Mixture-Process DOE to formulate the point of use “Sprayable Decontaminant Slurry”. This presentation will also address both the technical and “soft side” issues encountered while transitioning an organization from conventional experimentation to DOE.
Hour 5: Wanted: Star Trek Transporter!
Greg Hutto, US Air Force
Custom built "Franken-designs" optimize the US Air Force aircraft's sensor performance to detect targets. A unique application that shows the power of going beyond classic designs to solve a problem!