Capability application review

DOE, Regression, and Empirical Statistical Modeling — Application Review

Connect experimental design, comparisons and validation to process and production questions.

Prepared for the RC10 portfolio review. This is a completed application and evidence review, not a historical test report.

Decision and Review Conclusion

Which Factors Affect the Response and Are the Model Assumptions Defensible?

Connect experimental design, comparisons and validation to process and production questions.

Completed Capability Application Review

Capability and decisionReview finding and connected evidence
Design Experiments to Compare Process Factors

Which factors affect the response and are the model assumptions defensible?

Connect experimental design, comparisons and validation to process and production questions.

Complementary capabilities: Translate Application Needs into Experimental Requirements, Compare Adsorption Performance Across Product Streams.

Experimental-design relevance does not assert that a factorial or ANOVA study was completed on every linked project.

Control Nuisance Variation in Experiments

Which factors affect the response and are the model assumptions defensible?

Connect experimental design, comparisons and validation to process and production questions.

Complementary capabilities: Develop Hydration, Mixing and Texture-Evaluation Processes, Define Representative Trials and Acceptance Criteria.

Blocking and nuisance-variable control are methodological applications; a completed Latin-square design is not asserted.

Screen Factors and Plan Confirmation Trials

Which factors affect the response and are the model assumptions defensible?

Connect experimental design, comparisons and validation to process and production questions.

Complementary capabilities: Translate Application Needs into Experimental Requirements, Plan Adsorption and Regeneration Studies.

Factor screening is relevant to these trials; a completed fractional-factorial experiment is not asserted.

Interpret Factor Significance and Experimental Variation

Which factors affect the response and are the model assumptions defensible?

Connect experimental design, comparisons and validation to process and production questions.

Complementary capabilities: Assess Yield, Texture and Shelf-Life Performance, Prepare and Validate Production-Rate Analyses.

Compare Production-Rate Factors and Group Differences

Which factors affect the response and are the model assumptions defensible?

Connect experimental design, comparisons and validation to process and production questions.

Complementary capabilities: Prepare and Validate Production-Rate Analyses, Evaluate Line Constraints and Balance Throughput.

Production-rate comparisons provide application context; a specific Tukey HSD calculation on these projects is not asserted.

Model Relationships Between Factors and Outcomes

Which factors affect the response and are the model assumptions defensible?

Connect experimental design, comparisons and validation to process and production questions.

Complementary capabilities: Model Filtration Demand and Peak Capacity, Evaluate Yield, Quality and Downstream Protection.

Modeling relevance does not imply that every named regression family was used.

Check Model Fit and Statistical Assumptions

Which factors affect the response and are the model assumptions defensible?

Connect experimental design, comparisons and validation to process and production questions.

Complementary capabilities: Prepare and Validate Production-Rate Analyses, Validate Observational Data and Variability.

Adapt Statistical Methods When Assumptions Fail

Which factors affect the response and are the model assumptions defensible?

Connect experimental design, comparisons and validation to process and production questions.

Complementary capabilities: Prepare and Validate Production-Rate Analyses, Prepare and Validate Engineering Datasets.

Alternative estimation methods require an observed assumption failure; none is invented here.

Prepare and Validate Production-Rate Analyses

Which factors affect the response and are the model assumptions defensible?

Connect experimental design, comparisons and validation to process and production questions.

Complementary capabilities: Prepare and Validate Engineering Datasets, Analyze Throughput, OEE and Process Performance.

All Portfolio Connections

All portfolio connections (35)

WHAT COMES NEXT

Complex Challenge?
Let’s Work Through It.

Engineering leadership, capital projects, and independent consulting.

Start a conversation ↗