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DOE : Design of Experiments - Training for Non Engineers

Why TONEX’s Design of Experiments Training? DOE Training Course Description:

The design of experiments training, DOE training for non-engineers course is designed to instruct you how to break down main drivers of disappointments utilizing connected insights. DOE additionally will give you the capacity of critical thinking, designing experiments, leading them, and dissecting the outcomes. Through this hands-on course, we will instruct you how to make breaking down perplexing, multilevel frameworks less complex without loosing the exactness of examination. 



#Audience

This is 2-day course designed for:

  • The individuals who need to apply statistics in their work, yet have no engineering background. 
  • Quality managers and technicians 
  • Scientists 
  • Research and development personnel 
  • Marketing and business analysts 
  • Testing and manufacturing professionals 

#Training Objectives

  • Design, execute, and interpret effective experiments 
  • Identify root causes of a failure 
  • Identify the effect of various input factors on the response variables (output) 
  • Develop effective solutions and improve the process to eliminate the current problems 
  • Select appropriate design options and tactics to optimize and accelerate the process of getting the desired results 
  • Apply DOE to improve the efficiency of the day-to-day operations and project management 
  • Understand the principals of DOE Conduct and apply t-test 
  • Properly anticipate how many observations they need for an experiment 
  • Choose the proper multiple comparison procedure for their situation 
  • Allocate their observations among their k treatment groups 
  • Understand and perform F-test 
  • Understand the principals of blocking 
  • Exploit Latin Square Designs 
  • Apply Graeco-Latin Square Design 
  • Crossover Designs and their special clinical applications Balanced Incomplete Block Designs (BIBD) 

#Course Outline

  • Introduction To Design of Experiments 
  • Components of Experimental Design 
  • Purpose of Experimentation 
  • Requirements Prior To DOE Execution 
  • Comparative Experiments 
  • Single Factor Experiments, ANOVA, In A Completely Randomized Design (CRD) 
  • Blocking 
  • Basic Factorial Designs 
  • The 2^k Factorial Design 
  • Confounding And Blocking in 2^k Factorial Designs 
  • The Two-level Fractional Factorial Designs 
  • The Three-level And Mixed-Level Factorials and Fractional Factorials 
  • Response Surface Designs 
  • Robust Designs 
  • Experiments with Random Factors 
  • Nested and Split Plot 


Design of Experiments Training
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