EALSS academy

Welcome to the course!

1.1 Benefits of Six Sigma

1.2 Key characteristics of Six Sigma

1.3 Process improvement and the transfer function

1.4 Evolution of continuous improvement methodologies

1.5 Improvement methodologies and Six Sigma

1.6 Key pioneers and their contributions to Six Sigma

1.7 Considerations for Six Sigma projects

1.8 Starting a Six Sigma initiative

1.9 Supports and Linkages with organizational goal

1.10 Business processes

1.11 Core and Support processes

1.12 Interactions among processes

1.13 Business Drivers

1.14 Organizational metrics

1.15 Characteristics of good metrics

1.16 Balanced Scorecard

1.17 Introduction to Lean methodology

1.18 Six Sigma and Lean: Differences and Similarities

1.19 Integrating Lean with Six Sigma

1.20 5 laws of Lean

1.21 Four Lean concepts

1.22 5 steps in the Lean process

1.23 Lean tools commonly used in Six Sigma

1.24 Lean Six Sigma applications in service

1.25 Lean Six Sigma applications in manufacturing

1.26 Key concepts in the Theory of Constraints

1.27 Measures of a System in TOC

1.28 Value added and Non-value added activities

1.29 Lean's 7 wastes

1.30 Value Stream Map

1.31 Creating a Current State Map

1.32 Creating a Future State Map

1.33 DFSS: Key concepts and tools

1.34 When to use DFSS

1.35 Comparing DFSS and Six Sigma

1.36 The IDOV methodology

1.37 The DMADV methodology

1.38 Differentiating DMAIC, IDOV, and DMADV

1.39 Introduction to basic FMEA

1.40 FMEA types

1.41 Steps in the FMEA process

1.42 Severity, Occurrence, and Detection ratings

1.43 Calculating and Using RPN

1.44 DFMEA and PFMEA

1.45 DFMEA and PFMEA worksheets

1.46 Common problem-solving approaches in organizations

2.1 Six Sigma Readiness Assessment

2.2 Six Sigma Project selection process

2.3 Six Sigma methodology selection

2.4 Introduction to Benchmarking

2.5 Benchmarking and Six Sigma

2.6 Types of Benchmarking

2.7 Process Components

2.8 Process Improvement Challenges

2.9 Process Input and Output variables

2.10 Using SIPOC to understand a process

2.11 Project Stakeholders

2.12 Process owners and other stakeholders

2.13 Voice of the business and Voice of the customer

2.14 Voice of the Customer strategy in Six Sigma

2.15 Internal and External customers

2.16 Effects of Six Sigma projects on Customers

2.17 Customer data

2.18 Data collection tool

2.19 Effective data collection

2.20 Data bias and errors

2.21 Eliminating Vagueness, Ambiguity and Bias

2.22 Understanding Customer requirements

2.23 Kano analysis

2.24 Quality Function Deployment

2.25 Understanding HOQ

2.26 HOQ diagram: Customer focus

2.27 HOQ diagram: Technical requirements

2.28 HOQ matrix: Translating Voice of the Customer

2.29 The Interrelationship Matrix

2.30 HOQ matrix: Technical Measures and Requirements

2.31 HOQ Matrix: Technical Correlations

2.32 Project management and Six Sigma

2.33 Project problem statements

2.34 Scoping a Six Sigma Project

2.35 Defining Project Scope

2.36 Using a Process map

2.37 Using a Pareto chart for Project scoping

2.38 Project metrics

2.39 Planning tools

2.40 Gantt chart

2.41 Critical Path method

2.42 Program Evaluation and Review technique (PERT)

2.43 Project Documentation

2.44 Risk management and Six Sigma

2.45 Determining Risk probability and Impact

2.46 Project closure

2.47 Introduction to affinity diagram

2.48 Affinity diagram tips

2.49 Interrelationship diagraphs

2.50 Creating an Interrelationship diagraph

2.51 Introduction to tree diagram

2.52 Creating a tree diagram

2.53 Introduction to the prioritization matrix

2.54 Creating a prioritization matrix

2.55 Introduction to Matrix diagram

2.56 Creating a Matrix diagrams

2.57 Introduction to Process Decision program charts

2.58 Creating a Process decision program chart

2.59 Introduction to Activity Network Diagram

2.60 Creating an Activity Network diagram

2.61 Tracking performance metrics

2.62 Approaches to Measuring Process performance

2.63 Calculating Defects per unit (DPU)

2.64 Introduction to Defects per million opportunities (DPMO)

2.65 Calculating DPMO

2.66 Defining Rolled Throughput yield (RTY)

2.67 Calculating FTY and RTY

2.68 Process Capability

2.69 Calculating Process capability indices

2.70 Introduction to COPQ

2.71 Types of COPQ

2.72 Introduction to Six Sigma team

2.73 Evolution of Six Sigma team

2.74 Six Sigma organizational roles

2.75 Other Six Sigma team roles

2.76 Team challenges: Interpersonal issues

2.77 Team Challenges: Excessive cohesion

2.78 Team challenges: Meetings

2.79 Brainstorming

2.80 Nominal Group technique and Multivoting

2.81 Six Sigma team communication

2.82 Six Sigma organizational communication

3.1 Process Modeling

3.2 Identifying areas for process improvement

3.3 Types of Process maps

3.4 Process Map Symbols

3.5 Creating a Process Map

3.6 Interpreting a process map

3.7 Introduction to Probability

3.8 Simple and Mutually Exclusive events

3.9 Independent and Dependent Events

3.10 The Addition Rule

3.11 The Multiplication Rule

3.12 Calculating Permutations

3.13 Calculating Combinations

3.14 Probability Distributions

3.15 Normal Distribution

3.16 Calculating probabilities from Z values

3.17 Binomial Distributions

3.18 Poisson distributions

3.19 Chi-square distributions

3.20 Student's t distributions

3.21 F- distributions

3.22 Data Classification

3.23 Continuous and Discrete data

3.24 Using Continuous and Discrete data

3.25 Measurement Scales

3.26 Data Sampling

3.27 Sampling Methods

3.28 Simple Random Sampling

3.29 Stratified Sampling

3.30 Data Collection in Six Sigma

3.31 Data collection best practices

3.32 Information technologies for Data collection

3.33 Data collection plan

3.34 Check Sheets

3.35 Data coding

3.36 Descriptive and Inferential Statistics

3.37 Central limit theorem

3.38 Tools used for inferential statistics

3.39 Measure of Central tendency

3.40 Measures of Dispersion

3.41 Frequency Distribution table

3.42 Cumulative Frequency distribution

3.43 Scatter diagram

3.44 Normal Probabilities plots

3.45 Histogram

3.46 Stem and Leaf's plots

3.47 Box and Whisker plots

3.48 Measurement and Measurement System

3.49 Measurement correlation

3.50 Repeat abilities and Reproducibilities

3.51 Conducting a Gage R & R studies

3.52 Interpreting GR & R Study graphs and tables

3.53 Precision to Tolerance (P/T ratio)

3.54 Introduction to bias

3.55 Calculating Bias

3.56 Introducing Linearity

3.57 Calculating Linearity

3.58 Percent Agreement Analysis

3.59 Determining Percent Agreement

3.60 Process performance and Capability

3.61 Performance Metrics

3.62 Conducting a process capability study

3.63 Verifying Stability of process

3.64 Verifying Normality Assumption

3.65 Calculating Cp value

3.66 Calculating Cpk value

3.67 Application considerations for Cp and Cpk

3.68 Calculating Pp

3.69 Calculating Ppk

3.70 Capability Ratio and Cpm

3.71 Process performance and Sigma level

3.72 Recommending Process Improvements

3.73 Short term Vs. Long term Capability

4.1 Multi-vari analysis

4.2 Sampling plans for Multi-vari analysis

4.3 Types of Variation

4.4 Interpreting Variation results

4.5 Correlation analysis

4.6 Using Scatter diagrams for Correlation analysis

4.7 Correlation coefficient

4.8 Causation

4.9 Testing Statistical significance

4.10 Using Linear Regression

4.11 Hypothesis testing for regression statistics

4.12 Using Regression Analysis to predict outcomes

4,13 Introduction to hypothesis testing

4.14 Null and Alternative hypothesis

4.15 Statistical and Practical Significance

4.16 Point and Interval estimates

4.17 Type I and Type II errors

4.18 Power of a hypothesis test

4.19 Determining appropriate sample size

4.20 Hypothesis testing steps

4.21 One or two tailed hypothesis test

4.22 The critical Value and P-value methods

4.23 One sample T and Z test

4.24 Pooled Two sample t-test for means

4.25 Non-pooled two sample t-test for means

4.26 Hypothesis testing overview

4.27 Hypothesis test for paired comparison

4.28 Conducting a paired comparison t-test

4.29 Examining paired-comparison t-test results

4.30 One-sample test for variance

4.31 Two sample test for variance

4.32 Key characteristics of tests for proportions

4.33 One sample proportion tests

4.34 Two sample test for proportion

4.35 Basic ANONVA concepts

4.36 One way ANOVA test

4.37 Basic Chi-square test concepts

4.38 Conducting a chi-square hypothesis testing

5.1 Design of experiments and Six Sigma

5.2 Element of an Experiment

5.3 DOE: Purpose and Process

5.4 Experiment error

5.5 Balanced design

5.6 Randomization

5.7 Blocking

5.8 Replication and Repetition

5.9 Full and Fractional Factorial designs

5.10 Main Effects and Interaction Effects

5.11 Analyzing DOE results

5.12 Conducting Root cause analysis

5.13 Fishbone diagrams

5.14 Relational Metrices

5.15 The 5 why's

5.16 Fault Tree Analysis (FTA)

5.17 Value added and Non-value added activities

5.18 Eliminating Waste

5.19 5s workplace organization

5.20 Implementing 5s

5.21 Poka-yoke

5.22 Standard work

5.23 Kanban and Pull

5.23.1 Kanban Pull process

5.25 Cycle time and Takt time

5.26 Reducing Cycle time

5.27 Continuous Flow

5.28 Setup Reduction

5.29 The SMED process

5.30 Kaizen

5.31 Kaizen Blitz

5.32 Applying Kaizen