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  • (DOE) is a structured methodology to optimize product and process designs, to accelerate the development cycle, to reduce development costs and to effectively trouble shoot manufacturing problems

DESIGN OF EXPERIMENTS (DOE)

89259 06892

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Duration |  20 Hours (2hrs/day)

ELIGIBILITY:

  • Pursuing (Final Year) / Completed Engineering graduates / Working professionals in Design, Mfg., Quality functions

  • Basic knowledge on Statistics, Working knowledge in Excel

CERTIFICATION CRITERIA:

  • Attendance – 90% Min 

  • Assignment completion – 100%

  • Post test assessment score – 70% Min

HIGHLIGHTS

  • DOE Explained with real time exercises and industry case studies

  • Step by step approach to DOE – Design and analysis using Minitab 

  • End of Module Assessments  enable instructor to ascertain whether students have understood the program

CONTENTS

  • 1. Introduction to DOE 

  • Experimental design

  • Single factor experimentation

  • Factorial notation

  • Controllable & Response variables

  • Planning for DOE

  • Interactions

  • 2. DOE Design 

  • One Factor Experiments

  • Full factorial & Fractional factorial designs

  • Confounding 

  • Resolution

  • Repeats and Replicates

  • Randomization & Blocking

  • 3. DOE Analysis 

  • Practical, Graphical and Analytical approaches

  • Main effects and Interaction effects

  • Diagnostic plots

  • ANOVA Model

  • Multiple regression model

  • Response optimization

  • Using MiniTab for Analysis and optimization

  • 4. Taguchi Methods 

  • Robustness & Noise

  • Parameter design

  • Orthogonal Arrays

  • Selection of  Orthoganal arrays

  • Signal to Noise Ratio (S/N) 

  • Analyzing Taguchi designs

  • Optimization

  • 5. Response Surface Designs

  • 6. Multi response optimization – Grey Relational analysis

  • Minitab Exercises  for all  DOE models

OUTCOMES

By The End Of Course The Learner Will Be Able To:

  • Design and conduct experiments

  • Analyse the DOE results using Minitab  

  • Optimize the product and process performance

  • Take up research projects using DOE

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