Designed Experiments (DOE)

Outline Of Topics Covered

  • Defining quality and quality characteristics
  • Quality loss function
  • Classification of factors
  • Choosing factor levels
  • Full and fractional factorials
  • Orthogonal Arrays/Interactions
  • Degrees of freedom
  • Assignment of interactions using interaction tables and linear graphs
  • Blocking, randomization and replication
  • Response tables and graphs
  • Optimization
  • Additivity of effects
  • Signal-to-noise ratios (Taguchi Techniques)
  • Analysis of variance (ANOVA)

Who Should Attend?

Individuals who will manage, conduct or participate in designed experiments with; Manufacturing, Design, Quality Engineers, Technicians/Technologies; and Quality Production Manager and Supervisors.

Benefits Of Attending

  • This course will enable an organization to qualify their key personnel in the use of one of the most powerful manufacturing and design tools available
  • Participants will take away the knowledge of how designed experiments can be used to correct incapable processes, reduce the impact of supplier variation and environmental factors,reduce scrap, rework and optimize product characteristics to the design requirements

Prerequisites

Delegates will benefit from having exposure to SPC or college level statistics.

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