Lean Six Sigma - course details

Yellow Belt

Day 1 & 2

An overview of Lean

• Analysis of Lean procedure
• Describing customer values, mapping values streams and flow
• Defining pull and seek perfections

The summary of Six Sigma

• Introducing Six Sigma
• Process of Six Sigma (Define, Measure, Analyse, Improve and Control)

An introduction to Lean Six Sigma

• The study of Lean Six Sigma
• Differentiate between Lean and Six Sigma
• The necessity of Lean Six Sigma concept
• The management idea of Lean Six Sigma
• The roles and steps of Lean Six Sigma
• The procedures of Six Sigma
• The idea of active teams

Study of Phases

• What are problem statements?
•  Learning objectives
• Analysis of Voice of the Customer (VOC)
• Identifying Kano
• Working on Lean Six Sigma Projects
• evaluating critical to quality
• The various kinds of phases

Measure Phase

• The summary of Measure Phase
• Estimating challenges
• Strategies for process performance
• Study of process mapping
• Planning of value stream

Analyse Phase

• Exploration of exploratory data
• An overview of cost analysis
• Types of waste
• The 5 Why’s of Root Cause Analysis and the Ishikawa diagrams

Improve Phase

• Choice of improvement solutions
• Study of Ease and Effect matrix
• An overview of risk management

Control Phase

• Development maintenance
• The ongoing cycle of measuring
• An Introduction to Statistical Process Control

Conclusions

• The examples of Yellow Belt improvement

Green Belt

Day 3,4 & 5

Six Sigma and Organisational Goals

• An Introduction
• Six Sigma and Organisational Goals
• Lean Principles
• Design for Six Sigma Methodologies

Define Phase

• An Introduction
• Project Identification
• Voice of Customer
• Basics of Project Management
• Management and Planning Tools
• Business Results for Projects
• Team Dynamics and Performance

Measure Phase

• Introduction to Measure Phase
• Process Analysis and Documentation (Create)
• Probability and Statistics
• Collecting and Summarizing Data
• Statistical Distributions
• Measurement System Analysis
• Process and Performance Capability

Analyse Phase

• Introducing the Analyse Phase
• Hypothesis Testing
• Exploratory Data Analysis

Improve Phase

• Introduction to the Improve Phase
• Design of Experiments
• Root Cause Analysis
• Lean Tools
• Selecting a Solution

Control Phase

• Introducing the Control Phase
• Statistical Process Control
• Control Plan
• Lean Tools for Process Control

Tips and Tricks

• Exam Tips
• ASQ Exams
• IASSC Exam

Black Belt Upgrade

Days 6 - 10

Section 1

• Quick review of Lean Six Sigma Green Belt
• Project Charters or Workshop
• Jobs to be Done
• Expectations on results
• What is Minitab?
• Basic Statistics 2
• Project Report Outs
• Daily Tech backs
• Define Change Management
• Exercise based on Value Stream Mapping
• Project Management
• Measurement System Analysis
  
  • Attribute Agreement Analysis
  • Continuous Data
• Capability Analysis
  
  • Attribute Data
  • Continuous Normal Data
  • Continuous Non-normal D

Section 2

• Reviews of Project
• Review of Assumption Testing
• Methods and Techniques of Minitab Graphical
• Flow Review
• Central Limit Theorem
• Confidence Intervals
• Pull Review
• Mean & Variance Tests
• Proportions Testing
• Contingency Tables GOF
• Sample Size Selection
• Correlation/Linear Regression
• One Way ANOVA
• Improving Phase Roadmap
• Getting Familiar With Design of Experiments (DOE)
• Full Factorial Designs
• 2K Factorial Designs
• Attribute DOE
• Project Reviews

Section 3

• 2K Fractional DOE Designs
• Simulation Exercise DMAIC / DOE
• Logistic Regression – An Introduction
• Advanced Regression
• Introduction to Control Charts
• Variable SPC Techniques
• Attribute SPC Techniques
• Control Methods
• Introducing  Surveys

DMAIC Review & Final Reports

Delegates will become aware of DMAIC and DMADV models. 

DMAIC is a cycle that depicts what happens following changes to a process. DMAIC stands for:

• Define - the process and problem
• Measure - the process' current performance
• Analyse - the process for issues and root cause
• Improve - determine and apply improvements
• Control - sustain the improvements

DMADV is the method used for development of existing products. DMADV refers to:

Define - the project purpose and problems, and customer requirements to outline project objectives

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