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Screening and Optimization Designs

 
  October 04, 2004  
     
 


Creascience, Montreal
Oct 27-29, 2004


This course covers the design of efficient experiments requiring few runs for screening and optimization purposes.

Course Topics

  • The design of experiments (DOE) approach
  • Review of factorial designs: construction and analysis
  • Generalities on fractional factorial designs

    • How to reduce the number of runs

    • The notion of model in fractional designs

    • Integrating the objective of the experiment in the design

    • Impact of fractioning

    • Notions of repetition and balance


  • Screening Designs


    • Fundamental principles

    • Construction principles

    • A simple case

    • General case: design resolution, choice of a design, design construction and data analysis

    • Plackett-Burman Designs

    • Designs at three levels

    • Mixed-Level Designs

    • Advanced Methods

  • Taguchi Designs

  • Response Surface Methodology


    • Context of application and objectives

    • Another approach than ANOVA is needed

    • Statistical background

    • Constructions of designs for response surfaces

    • Analysis of results and regression model selection

    • Use of the model

    • Dynamic experimental designs

    • D and A optimal designs

    • Handling qualitative variables

    Course Format


    Different teaching tools are used: lectures, group discussions and interpretation hands-on exercices on computers (EXCEL macro developed by Creascience).

  •  
     
    Organized by: Creascience
    Invited Speakers: Natalie Rodrigue
     
    Deadline for Abstracts: None
     
    Registration: http://training.creascience.com/product_info.php?cPath=22&products_id=88
    E-mail: rodrigue@creascience.com
     
       
     
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