EALSS academy

Welcome to EALSS Academy

Sample certificate (EALSS Yellow belt)

1.1 Six Sigma Foundations and Principles

1.2 Purpose and Goals of Six Sigma

1.3 Key characteristics of Six Sigma

1.4 Evolution of Six Sigma

1.5 Six Sigma Methodology

1.6 Six Sigma projects

1.7 Value of Six Sigma to the organization

1.8 Purpose and Value of Lean

1.9 Lean Concepts and Process steps

1.10 Lean and the concept of Value added

1.11 Lean tools - Just in time

1.12 Lean tools- Poka-yoke

1.13 Lean tools - Kanban

1.14 Lean tools - Value stream mapping

1.15 Six Sigma and Lean: Differences & Similarities

1.16 Integrating Lean with Six Sigma

1.17 Lean Six Sigma Deployment

Six Sigma: Team basics, Roles, and Responsibilities

1.18 Types of Six Sigma teams

1.19 Value of Sigma teams

1.20 Team evolution: Forming, Storming, and Norming

1.21 Teams: Performing, Adjourning and Recognition

1.22 Brainstorming

1.23 Nominal group technique

1.24 Multivoting

1.25 Importance of effective team communication

1.26 Using agendas of communication

1.27 Meeting minutes

1.28 Using project status reports

1.29 Six Sigma in the organization

1.30 The Six Sigma yellow belt

1.31 Six Sigma project teams

Six Sigma quality tools

1.32 Introduction to quality tools used in Six Sigma

1.33 Pareto chart

1.34 Creating and using pareto charts

1.35 Using Flowcharts in Six Sigma

1.36 Using Run charts in Six Sigma

1.37 Root cause analysis in Six Sigma

1.38 Cause and effect diagram in Six Sigma

1.39 Check Sheets in Six Sigma

Six Sigma Metrics

1.40 Introduction to Six Sigma metrics

1.41 Methods for measuring performance

1.42 Defects per unit (DPU)

1.43 Defects per million opportunities (DPMO)

1.44 Calculating DPMO

1.45 First time yield (FTY)

1.46 Rolled throughput yield (RTY)

1.47 Cost of poor quality(COPQ)

1. 48 Categories of COPQ

1.49 Cycle time

1.50 Calculating Cycle time and Takt time

Six Sigma - Identifying projects

2.1 Voice of business and Voice of Customer

2.2 Voice of the customer process

2.3 Customer input during Project definition

2.4 Collecting Customer data

2.5 Translating customer requirements

2.6 Selecting a Six Sigma project

2.7 Using priority Metrix for project selection

2.8 Selecting an appropriate methodology

2.9 Six Sigma project stakeholders

2.10 Internal and External customer

2.11 Process owners and Project leadership

2.12 Process components

2.13 Using SIPOC diagram

Six Sigma: Project Management Basics

2.14 Managing a Project in Six Sigma

2.15 Defining project goals and baseline data

2.16 Creating the problem statement

2.17 Defining project scope

2.18 Purpose and benefits of a communication plan

2.19 Effective project communication

2.20 Six Sigma project planning and monitoring tools

2.21 Using the work breakdown structure

2.22 Planning with Gantt chart

2.23 Using Activity network diagrams to manage projects

2.24 Using Affinity diagrams to understand problems

2.25 Depicting relationships using matrix charts

2.26 Using relation chart to show cause and effect

2.27 Depicting hierarchies using a tree diagram

2.28 Tollgate reviews

3.1 Descriptive and Inferential Statistics

3.2 Introduction to central tendency

3.3 Calculating and Interpreting Mean

3.4 Calculating and Interpreting Median

3.5 Determining and Interpreting Mode

3.6 Introduction to Dispersion

3.7 Calculating and Interpreting Range

3.8 Calculating and Interpreting Standard deviation

3.9 Calculating and Interpreting Variance

3.10 Central tendency and Inferential statistics

3.11 Effects of skewed data and outliers

Collecting and classifying data

3.12 Classifying data

3.13 Qualitative and Quantitative data

3.14 Continuous and Discrete data

3.15 Levels of Measurement

3.16 Types of data collection

3.17 Contents of Data collection plan

3.18 Data sources, sampling and frequency

3.19 Data collection best practices

3.20 Avoiding data collection problems

3.21 Using information technology for data collection

3.22 Using surveys for data collection

3.23 Using interviews for data collection

3.24 Using checklists for data collection

Six Sigma Measurement System analysis

3.25 Measurement system analysis in Six Sigma

3.26 Precision and Accuracy of the measurement system

3.27 Concepts related to measuring accuracy

3.28 Assessing bias

3.29 Linearity of a measurement system

3.30 Assessing linearity

3.31 Stability of a Measurement system

3.32 Repeatability and Reproducibility

3.33 Gage R & R study

3.34 Gage R & R and Total variation

4.1 Common Lean tools

4.2 5s for workplace organization

4.3 Value analysis in Six Sigma

4.4 Identifying types of waste

4.5 Value stream analysis

4.6 Introduction to FMEA

4.7 Types of FMEA

4.8 Severity, Opportunity, and Detection

4.9 Using the Risk priority number

4.10 Using FMEA worksheets

Data analysis and Root cause analysis

4.11 Variables and Probability distributions

4.12 Introduction to Normal distribution

4.13 Introduction to Bimodal distribution

4.14 Skewed and Bimodal curves

4.15 Common and Special cause variations

4.16 Introduction to Root cause analysis

4.17 5 Why analysis

4.18 Process mapping

4.19 Process map symbols

4.20 Relational Matrix charts

4.21 Force field analysis

Correlation, Regression. and Hypothesis testing

4.22 Correlation basics

4.23 Scatter diagram and Correlation analysis

4.24 Correlation coefficient

4.25 Causation and the significance of correlation

4.26 Basics of Regression analysis

4.27 Predicting outcomes with Regression analysis

4.28 Introduction to hypothesis testing

4.29 Null and Alternative hypothesis

4.30 Type I and Type II errors

4.31 One Vs Two-tailed hypothesis tests

4.32 Power of a test

4.33 The P-value for a hypothesis test

Six Sigma techniques for improvement

5.1 Kaizen and Six Sigma

5.2 Kaizen process

5.3 Conducting a Kaizen blitz

5.4 Applying Kaizen in your organization

5.5 Introduction to PDCA

5.6 Steps in the PDCA cycle

5.7 Six Sigma and Cost-benefit analysis

5.8 Identifying benefits

5.9 Identifying costs

5.10 Conducting a cost-benefit analysis

Six Sigma control tools and documentation

5.11 Using Control plans for Six Sigma projects

5.12 Creating a control plan

5.13 Control plan Hand-off

5.14 Statistical process control in Six Sigma

5.15 Introduction to control charts

5.16 Types of control charts

5.17 Choosing a control chart

5.18 Creating an X bar-R chart

5.19 Interpreting data trends in control charts

5.20 Documentation for project control

5.21 Types of control documents