What is Design Expert Public DOE Training?
Master the art of Design of Experiments (DOE) through a personalized approach that suits your style! Guided by DOE specialists, our public training, grounded in real-world case studies, enhances your learning journey to the fullest. Immerse yourself in interactive learning and engaging discussions led by our top-tier educators to enrich your educational journey. All courses are conducted virtually, offering the convenience of participation right from your own workspace. Workshops are meticulously crafted to cater to both newcomers to experimentation and seasoned practitioners. For those new to design of experiments, pre-work will provide the necessary groundwork, ensuring readiness for a hands-on and practical experience in designing and analyzing DOE experiments. Contact us for the Design Expert public training.
What is ESSENTIALS Series?
Quick dive short courses focus on specific types of DOE's:
- Foundations of Factorial DOE for Breakthroughs: During this workshop, you will discover how to effectively:
- Implement the DOE planning process
- Interpret analysis of variance (ANOVA)
- Discover hidden interactions
- Use power to properly size factorial designs
- Determine when to use transformations
- Explore multilevel categoric factors
- Optimize multiple responses
- Fractional Factorials for Process Development: During this DOE workshop, discover how to save time and resources by:
- Capitalizing on efficient small-run fractional designs for screening or characterization
- Following the strategy of experimentation from screening to characterization to response surface methods
- Learning best-practices for analyzing factorial designs
- Response Surface Methods for Peak Performance: Utilize the complete potential of classic and optimal designs to model your processes. This intermediate-level Essentials short course encompasses the following topics:
- Learn to build central composite, Box-Behnken and optimal (custom) designs
- Use best practices to analyze RSM designs
- Apply model reduction to improve predictions
- Add constraints to improve the design space
- Include discrete numeric factors
- Optimize using numerical and graphical tools
- Optimal Tools for Formulation Development: During this Mixture Design short course you will:
- Discover what defines a mixture experiment
- Set up simplex designs
- Select appropriate mixture models
- Create modern graphics that visually describe the design space
- Use optimal designs for constrained mixture variables
- Optimize product formulas
What is Comprehensive experiences workshops?
These workshops are perfectly suited for individuals seeking a more in-depth exploration and a deeper level of learning:
- Modern DOE for Process Optimization: During this DOE workshop, you will discover how to effectively:
- Understand the motivation for factorial designs
- Implement the DOE planning process
- Interpret analysis of variance (ANOVA)
- Discover hidden interactions
- Capitalize on efficient small-run fractional designs for screening or characterization
- Use power and precision to properly size designs
- Determine when to use transformations
- Explore multilevel categoric factors
- Follow the strategy of experimentation from screening to response surface methods
- Set up central composite (CCD) and optimal designs
- Select appropriate regression models with model reduction
- Optimize multiple responses
- Mixture Design for Optimal Formulations: During the Mixture Design for Optimal Formulations workshop you will:
- Discover what defines a mixture experiment
- Set up simplex designs
- Augment and evaluate design quality
- Select appropriate mixture models
- Generate contour plots in triangular space
- Design for constrained mixture variables
- Optimize product formulas
- Combine mixture and process variables
- Improve process understanding with mixture-amount and mixture-categoric designs
What is Design Expert Industry-specific course?
This industry specific course is "Designed Experiments for Biotech & Pharma". This workshop covers all the practical aspects of DOE needed to improve your product development, as well as optimize R&D and manufacturing processes. You will learn how to:
- Take advantage of multifactor testing
- Ensure success via a four-step DOE planning process
- Assess statistical validity using ANOVA and diagnostics
- Discover hidden interactions
- Capitalize on efficient fractional designs for screening or characterization
- Use tools for power and precision to 'right' size designs - not too small or too big
- Apply response surface methods (RSM) for process optimization
- Develop multicomponent mixture designs for optimal formulations
- Make the most from your predictive models
- Optimize multiple responses to find your sweet spot