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Designing Mixture Experiments - Part 2

 

See how to:

• Understand the different type of Sheffe blending options
  • Linear (Linear blending)
  • Quadratic (Binary blending)
  • Special Cubic (Ternary blending)
  • Full Cubic (Synergistic and antagonistic blending between components and )
• Preview design, choose options (simulate responses, include run order) and then run design
  • Use Prediction and Mixture Profilers to find optimal settings for responses relating to your goals, and then interpret and compare Mixture Profiler results and Prediction Profiler
• Optimize using Prediction Profiler
• Design an mixture experiment that includes process variables
  • See how to lock requirements and maximize desirability for locked requirements

 

Note: Q&A begins at ~ Time 41:18

 

Resources

• Designing Mixture Experiments - Part 1 
• An Uncertainty Quantification Case Study Using Space-Filling Designs With Mixture Variables for Deterministic Data Discovery Summit Presentation and Files
• Step-by-Step JMP Multi-Factor DOE Examples  Instructions and Resources
• Strategies for Formulations Development: A Step-by-Step Guide Using JMP® Book by Snee and Hoerl
• Ron Snee's 2017 PharmaTech article Speeding Up Formulation Development: QbD principles and strategic thinking can reduce the time required to optimize formulation
• Technically Speaking video, Boosting Performance With Custom Designed Experiments
• Glossary of Mixture Terms
• Experiments with Mixtures, John Cornell, 3rd Edition 
• Documentation and examples - Prediction Profiler

Design of ExperimentsRe: Designing Mixture Experiments - Part 2

Linking to Part I of this 2-Part Series on Designing Mixture Experiments (by @wendytseng 

Designing Mixture Experiments - Part 1 - JMP User Community

 

Re: Designing Mixture Experiments - Part 2

At the Sept. 24, 2021 live webinar, attendees were interested in how to design an experiment with 2 mixtures that are part of a formulation.  A search in the JMP Community located some resources related to this topic.