Tuesday 2 July 2013

Key Six Sigma Tools For Improvements


Manufacturing Organizations use 6-sigma tools to drive continual improvement in Manufacturing and Production Operations. In the present work environment everyone involved in continual improvement should be equipped or armed with the know how in utilizing 6-sigma tools. However, we will focus on key 6-sigma tools. This course will improve the analytic skill effectiveness in problem solving and implementation of the appropriate tools in the continual improvement process.


On completion of the Program, participants will be able:
  • Understand and apply the Quality Planning tools.
  • Identify and apply the Quality Control tools.
  • Identify and utilize Quality Improvement tools
  • How to carry out their Process Capability studies.
  • Understand Basic Statistics and Anova.


Lecture, Workshop Activities, Discussion & Calculations.

Course Content

1. Introduction – Statistical Principles
  • Basic Statistics
  • Types of  variables
  • The Gaussian Distribution
  • Standard Deviation and Standard Error of the Mean
  • Exercise/Case Study

2. Descriptive Statistics and Normality Tests 
  • Frequency distributions (Histogram)
  • Describing curves
  • Anderson-Darling Test – Test for Normality.
  • Scatter Plot, correlation  & regression
  • Logistic Regression
  • Pareto
  • RTY
  • Exercise/Case Study

3. 1-way ANOVA and 2-way Anova
  • Key concepts
  • Repeated measures 1-way ANOVA with many levels
  • Ordinary 2-way ANOVA with one or many levels.
  • Exercise/Case Study

4. Statistical applications in quality controls:
  • Law of Variation, Common and Special Causes
  • Basic principle of Statistical Process Control(SPC)
  • What is a control chart?
  • Types of control chart
  • Units Production and Batch productions
  • Variations Within and Between Subgroups.
  • Process improvement and capability
  • Exercise/Case Study/Assignment
  • Hypothesis testing and statistical significance
  • Nonparametric hypothesis Tests
  • Confidence intervals
  • P Values
  • Outliers test
  • Sample size study
  • Exercise/Case Study/Assignment

5. Comparing Two Groups (T test)
  • Key concepts: t tests and related nonparametric tests
  • 1-Sample T Test
  • 2-Sample T test
  • Paired t test 
  • 1-Sample Wilcoxon Test
  • Mann Whitney Test
  • Kruskal-Wallis test
  • Friedman’s test
  • Exercise/Case Study/Assignment

Target Audience

QA/QC Managers / Executives / Supervisors / Engineers involved in process improvement preferably graduates in Science or Engineering fields. This course involves many calculations and mathematical modeling.

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