Introduction of Design of Experiments

Introduction of Design of Experiments

Design of experiments (DOE) is defined as a branch of applied statistics that deals with planning, conducting, analyzing, and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters.

Syllabus

  • Strategy of Experimentation, Typical applications of Experimental design, Basic Principles, Guidelines for Designing Experiments.
  • Concepts of random variable, probability, Mean median and mode, Measures of Variability, Concept of confidence level.
  • Factorial Experiments: Terminology: factors, levels, interactions, treatment combination, randomization,
  • Two-level experimental designs for two factors and three factors.
  • Three-level experimental designs for two factors and three factors, Factor effects,
  • Factor interactions, Fractional factorial design, Central composite designs. Illustration through Numerical examples
  • Analysis of variance (ANOVA) in Factorial Experiments, Regression analysis,
  • Surface response methodology, Taguchi Method, Full Factorial Design
  • Mathematical models from experimental data. Illustration through Numerical examples.





Trainer Details

Faculty of Mechanical Engineering Department MANIT Bhopal Author of Science citation Index journals


Trainer Details

Faculty of Mechanical Engineering, BITS Hyderabad


Trainer Details

Faculty of Mechanical Engineering, SAGE University Indore • Reviewer of International Journal (Elsevier, Taylor & Francis, Springer, MMI) • Awarded by Best Research Award 2020 (SCiFix) • International Level Speaker


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