On Site Training – Design Expert

Stat Ease Softwares

What is On-Site Training?

It is a private (custom) DOE training. We arrange customized DOE training for your organization through our private workshops offered by Factonity. Enjoy the flexibility of scheduling courses at your convenience. With the availability of distance learning tools, this option offers excellent possibilities for companies around the world. Contact us for the Design Expert on site training.

Our tailor-made live training can be adapted to align precisely with your requirements. The advantages encompass:

  • Instructors of the highest caliber, possessing industry expertise in design of experiments (DOE)
  • Interactive learning enabling immediate application of DOE principles through pertinent case studies
  • Cost-effective—eliminate travel expenses and lengthy employee absences
  • Personalized guidance from instructors, both prior to and after the class
  • Access to ongoing support from our seasoned team of DOE professionals

Whether you seek a course suited for novices embarking on experimentation or a program tailored for experienced practitioners, our assistance is at your disposal. All our public classes can be transformed into private workshops, and we also extend exclusive on-site options to cater to your needs.

What are Design Expert Workshops?

The workshops listed below encompass a fusion of factorial, response surface, or mixture designs, employing industry-relevant case studies. Feel free to reach out to us to obtain an up-to-date course outline:

  • Designed Experiments for Pharma
  • Designed Experiments for Medical Devices
  • Designed Experiments for Assay Optimization
  • Designed Experiments for Food Science
  • Designed Experiments for BioTech
  • Designed Experiments for Oil Field Services

Additionally, we provide:

  • Modern DOE for Process Optimization: During this DOE workshop, you will discover how to effectively:
    • Comprehend the rationale behind factorial designs
    • Execute the DOE planning procedure
    • Analyze analysis of variance (ANOVA) results
    • Uncover concealed interactions
    • Leverage small-run fractional designs for screening or characterization
    • Utilize power and precision for optimal design sizing
    • Recognize the need for transformations
    • Explore multilevel categoric factors
    • Track the experimental strategy from screening to response surface methods
    • Arrange central composite (CCD) and optimal designs
    • Choose suitable regression models through model reduction techniques
    • Enhance the optimization of 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