COURSE AGENDA SIX SIGMA GREEN BELT (SSGB) - 2 DAYS CLASSROOM TRAINING TOPICS CLASSROOM 1. Overview of Six Sigma and Organizational Goals About CSSGB Introduction to Six Sigma Basics of Six Sigma Process for Six Sigma - DMAIC What is Six Sigma? From where does Six Sigma come? Six Sigma --- Introduction to Qualifications Why Six Sigma? How Does Six Sigma work? Six sigma and organizational goals History of Quality Quality Gurus History of Six Sigma Six Sigma and Business System Six Sigma Projects and Organizational Goals Why Six Sigma? Structure of Six Sigma Team Day 1 Lean principles Why Use Lean? What is Lean? Other Lean Wastes Examples of Waste Value Stream Mapping Lean Concepts Lean Techniques
Cycle Time Reduction The Theory Of Constraints Design for Six Sigma (DFSS) in the organization Quality function deployment (QFD) Design and process failure mode and effects analysis ( FMEA, DFMEA & PFMEA) Processes for DFSS 2. Define phase I Prerequisites and Qualifications of a Six Sigma project Introduction to Define Phase Process Management for Projects What is a Business Process Process elements SIPOC Challenges to Business process improvement Owners & Stakeholders Business - Stakeholder relationship Identify customers, Internal and External Collect customer data Analyze customer requirements Pareto Chart Translate customer requirements CTQ,VOC - CTQ examples Translating customer requirements - QFD, sample QFD,QFD template, Explanation summary Day 1 What is project scope management? Project charter and problem statement - IS / IS NOT template Project plan Project scope Project metrics Project planning tools - Network Diagram, CPM, PERT, Gantt Project Documentation
Project risk analysis Project closure 3. Define phase II Management and planning tools Team Tools - Multivoting, Brainstorming and NGT Activities Affinity Diagrams Interrelationship Diagram Tree Diagrams Prioritization Matrices Matrix Diagram Process Decision Program Chart Activity Network Diagram Business results for projects DPU RTY Defect per million opportunities COPQ Process Capability Indices, Example and Interpretation FMEA Day 1 RPN and Scale Criteria Occurrence and Detection Team dynamics and performance Team stages Negative Dynamics Group Challenges Six sigma and other team roles and responsibilities Communication Techniques Define phase tools - Activities summary 4. Measure I Process analysis and documentation Process modeling Flowchart
Written Procedures Work Instruction Process inputs and output variables Cause and Effect Matrix Template Cause and Effect Diagram Probability and statistics Analytical Statistics Enumerative Statistics Central Limit Theorem Basic probability concepts Basic properties of probabilities Various Probability rule Addition Rule Multiplication Rule Day 1 5. Measure II Collecting and summarizing data Types of data and measurement scales Data collection methods Techniques for assuring data accuracy and integrity Simple Sampling Descriptive statistics Graphical methods Box and Whisker Plots Run Charts Scatter Plots Pareto Charts Normal Probability Plots Random Sampling versus Stratified Probability distributions Day 2 Discrete Probability Distribution Binomial Distribution Poisson Distribution Continuous Distribution & Normal Distribution Z - table usage Normal Distribution Chi Square Distribution t - Distribution F - Distribution
Measurement system analysis (MSA) Objective of Measurement System Analysis Sources of Variation Gage Repeatability and Reproducibility Component of GRR study Measurement Resolution Repeatability and Reproducibility Data Collection Interpretation of MSA GAGE RR Template, Results Summary and Interpretation Process capability and performance Process stability studies Process capability studies Process performance vs. specification Process performance indices Short - term vs. Long - term Process capability Assumptions and Convention - Process Variations Stability, Capability, Spread and Defects Summary Cpk versus Cp comparison Understanding Process Variations Effect of Mean Shift Process Capability for Attribute Data - Key Concepts 6. Analyze Exploratory data analysis Causes for Variations Multi - vari studies Create Multi - Vari Chart Simple Linear Correlation and Regression Correlation Levels Regression Simple Linear Regression Multiple Linear Regression Difference between Correlation and Causation Day 2 Hypothesis testing Statistical and Practical Significance of Hypothesis Test Hypothesis
Type I and Type II Errors Power of Test Test Criteria of Hypothesis Test Determinants of Sample Size - Continuous Data Standard Sample Size Formula - Continuous and Discrete Data Hypothesis Testing Roadmap Hypothesis Tests for Means, Variances, and Proportions Comparis on of Means of two processes Paired Comparison Hypothesis Test for Means ( Theoretical) Paired - Comparison Hypothesis Test for Variance - F - Test example Hypothesis Test for Equality of Variance - F - Test example Hypothesis Tests (Practical) F - Test Assumptions and Interpretations Hypothesis Tests (Practical) 2 - Sample t - Test Assumptions, Result and Interpretations Paired t - Test ANOVA (Comparison of More Than Two Means) Chi - Square Test 7. Improve & Control Piloting Design of experiments ( DOE ) Basic terms DOE examples - Plastic Molding and Full Factorial Experiment Main Effect Interaction Effect Statistical process control (SPC) Objectives and benefits Rational sub grouping Control Charts and Analysis Setting the Control Limits Purpose of Control Limits Most Common Rules for Control Chart Analysis Choosing an Appropriate Control Chart - Continuous Choosing an Appropriate Control Chart - Discrete Data Xbar Chart 1 - MR Chart Control Charts for Attribute Data Data Day 2
np - chart p - chart c - Chart u - Chart Implement &: validate solutions New Process Capability Measurement System Re - analysis Control plan What is a Control Plan? Why Use a Control Plan? Control Plan Strategy What to Control? Identifying KPIVs Control Plan Tools Developing a Control Plan Developing a Control Plan - continued Choosing the Right Level of Control Example of Transactional Control Plan Process Step Characteristic I Parameter Specification I Requirement Measurement Method Sample Size - Frequency Where Recorded? Decision Rule/Corrective Action Reference Number Sample Manufacturing Control Plan Disclaimers: The classroom duration can differ based on regions and trainers. For more information mail to rachel @edupristine.com 2015 - EduPristine. All Rights Reserved. www.edupristine.com/ca