OPS 016 - Understanding 6 Sigma Module

OPS 016 – Understanding 6 Sigma Module

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Description

INTRODUCTION

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.

Objective

  • 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.

Methodology

  1. Mini lectures
  2. Discussions
  3. Presentations
  4. Role Play
  5. Case Study
  6. Games
  7. Video clips
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CURRICULUM

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[stm_course_lessons title=”Day One”][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”Module 1: Introduction – Statistical Principles”]

  • Basic Statistics
  • Types of variables
  • The Gaussian Distribution
  • Standard Deviation and Standard Error of the Mean
  • Exercise/Case Study

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”Module 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

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”Module 3: 1-way ANOVA and 2-way Anova”]

  • Key concepts
  • How to conduct one factor and two factor experiments.
  • Repeated measures 1-way ANOVA with many levels
  • Ordinary 2-way ANOVA with one or many levels.
  • Exercise/Case Study

[/stm_course_lesson][/stm_course_lessons][stm_course_lessons title=”Day Two”][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”Module 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

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”Module 5: Hypothesis testing and statistical significance”]

  • Nonparametric hypothesis Tests
  • Confidence intervals
  • P Values
  • Outliers test
  • Sample size study
  • Exercise/Case Study/Assignment

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”Module 6: Non Parametric 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

[/stm_course_lesson][/stm_course_lessons]

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