Course Content

Total Training Hours: 14 hours
  • DAY 1  Understand the Methodology and Implementation of Advance Root Cause Analysis 0/6

    • Lecture1.1
    • Lecture1.2
      The pitfall of using One-Input-at-a-Time for root cause analysis
    • Lecture1.3
      What are interaction factors or inputs?
    • Lecture1.4
      Advance Root Cause Roadmap
    • Lecture1.5
      Deploying Analysis of Variance for Root Cause Analysis • One-way analysis of variance • Two-way analysis of variance
    • Lecture1.6
      Development of the data matrix for analysis • Breaking down total variance to variation of interest and variation due to error • Data analytic (statistics) to derive the root cause(s) and irreversible corrective actions. • Case studies
  • DAY 2  0/2

    • Lecture2.1
      Deploying Factorial Experimentation for Root Cause Analysis • Experimentation with two factors • How to establish the experimental error for analysis for a two-factors experiment?
    • Lecture2.2
      Experimentation with four or more factors • Identification of problem • Brainstorming • Multi-voting • How to use to create an experimental matrix • Establishing the experiment error for analysis • Data analytic to establish the root cause(s) result from interacting factors and main factors Irreversible corrective action • Case studies