Taguchi and Quality Improvement


Overview/Description
Target Audience
Expected Duration
Lesson Objectives
Course Number



Overview/Description
Well-designed experiments result in effective process design or redesign, and ultimately, improved organizations. The Taguchi Method is a technique for designing and performing experiments to investigate processes where the output depends on many variables. The Taguchi Method allows the Six Sigma teams to avoid the tedious and costly task of running a process using all possible combinations of variables. By systematically choosing certain combinations of variables, the Taguchi Method makes it possible to separate their individual effects. Unlike traditional Design of Experiments, the Taguchi Method focuses on optimizing design parameters to minimize variation BEFORE optimizing design to hit mean target values for output parameters. Six Sigma is a registered Trademark of Motorola Corporation, and all rights, title, and interest in Six Sigma belongs to Motorola.

Target Audience
Candidates for Black Belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a Six Sigma proposal; and organizations implementing a Six Sigma project

Expected Duration (hours)
2.0

Lesson Objectives

Taguchi and Quality

  • identify the advantages associated with using the Taguchi Method.
  • match the key philosophical elements of the Taguchi Method with examples.
  • match the types of quality control with examples.
  • match the types of controlled factors that impact quality with examples.
  • apply the strategies for classifying factors that impact quality when presented with a hypothetical scenario.
  • sequence examples of Taguchi's steps to ensure quality.
  • Taguchi for Robust Design

  • identify the advantages of choosing robust design for experiments in Six Sigma Projects.
  • match the key concepts of Taguchi's robust design with descriptions.
  • calculate loss function when presented with a hypothetical situation.
  • determine the proper signal-to-noise calculation methods to use for given examples.
  • Course Number:
    OPER0213