Lean Six Sigma Asq Road Map(1)
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Lean Six Sigma Improvement Process Road Map Enterprise-Wide Business Deployment Process Management • Enterprise view Leadership • Organizational goals and objectives • History of organizational improvement / foundation of six sigma •
Process vs. functional view • Voice of the customer • Business results
• •
• •
•
• •
Value of six sigma Business system and process Process inputs, outputs, and feedback Enterprise leadership Six sigma roles and responsibilities Linking projects to organizational goals Risk analysis Closed-loop assessment / knowledge management
•
•
• • • •
Project charter and plan Team leadership Team dynamics and performance Change agent Management and planning tools
Define
Measure
Project Scope • Metrics • Problem statement
•
•
• • •
• •
Business Process Management
Enterprise-Wide Deployment
•
Project Management
• • •
• • • • •
•
• •
Project Management
Process elements • Owners and • stakeholders • Project management and benefits • Project measures • Identify customer • Collect customer data • Analyze • customer data Determine • critical customer requirements • Process performance • metrics • Benchmarking • Financial benefits
Charter / plan elements Planning tools Project documentation Charter negotiation Initiating teams Selecting team members Team stages Team-building techniques Team facilitation techniques Team performance evaluation Team tools Managing change Organizational roadblocks • Negotiation and conflict resolution techniques • Motivation
• • • • • • •
Pareto charts • Top-level process • (macro) maps Quality • Cycle time Cost • Current statement Baseline • Improvement • goals • • •
• • • • • • •
Improve
• Exploratory data analysis • Design of Process analysis and documentation experiments • Hypothesis testing (DOE) Probability and statistics • Response surface Collecting and methodology summarizing data • Evolutionary Properties and operations (EVOP) applications of probability distributions Measurement system Analyzing process capability
Measure
Define •
Analyze
Tools • Process inputs and • outputs Drawing valid statistical conclusions • Central limits theorem and sampling distribution of the mean • Basic probability concepts • Types of data Measurement scales • Methods of collecting data Techniques for assuring • data accuracy and integrity • Descriptive statistics Graphical methods • Distributions • Measurement methods Measurement system • analysis • Metrology Process capability indices
Analyze Mutli-vary studies Measuring and modeling relationship between variables Simple linear correlation Diagnostics Fundamental concepts of hypothesis testing Point and interval estimation Tests for means, variances, and proportions Paried-comparison test Goodness-of-fit test Analysis of variance (ANOVA) Contingency table Non-parametric test
Control Statistical process control • Advanced statistical process control • Lean tools for control • Measurement system re-analysis •
Improve • •
• •
•
•
• • • •
Terminology Planning and organizing experiments Design principles Design and analysis of one-factor experiments Design and analysis of full-factorial experiments Design and analysis of two-level fractional experiments Taguchi robustness concepts Mixture experiments Steepest ascent / descent experiments Higher-order experiments
Control
• • • •
• •
Objectives and benefits Selection of variable Rational Sub grouping Selection and application of control charts Analysis of control charts PRE-control
ASQ – Six Sigma Black Belt Certification Body of
Lean Six Sigma Improvement Process Road Map Lean Enterprise Design for Six Sigma (DFSS) • Lean concepts Lean tools • Total productive maintenance (TPM) •
• • •
• •
Lean Enterprise • • •
• •
Theory of constrains Lean thinking Continuous flow manufacturing (CFM) Non-value-added activities Cycle-time reduction
Quality function deployment Robust design and process Failure mode and effects analysis (FMEA) Design for X (DFX) Special design toolsDesign
for Six Sigma (DFSS) Functional requirements • Noise strategies • Tolerance design • Tolerance and process capability •
ASQ – Six Sigma Black Belt Certification Body of
Process vs. functional view • Voice of the customer • Business results
• •
• •
•
• •
Value of six sigma Business system and process Process inputs, outputs, and feedback Enterprise leadership Six sigma roles and responsibilities Linking projects to organizational goals Risk analysis Closed-loop assessment / knowledge management
•
•
• • • •
Project charter and plan Team leadership Team dynamics and performance Change agent Management and planning tools
Define
Measure
Project Scope • Metrics • Problem statement
•
•
• • •
• •
Business Process Management
Enterprise-Wide Deployment
•
Project Management
• • •
• • • • •
•
• •
Project Management
Process elements • Owners and • stakeholders • Project management and benefits • Project measures • Identify customer • Collect customer data • Analyze • customer data Determine • critical customer requirements • Process performance • metrics • Benchmarking • Financial benefits
Charter / plan elements Planning tools Project documentation Charter negotiation Initiating teams Selecting team members Team stages Team-building techniques Team facilitation techniques Team performance evaluation Team tools Managing change Organizational roadblocks • Negotiation and conflict resolution techniques • Motivation
• • • • • • •
Pareto charts • Top-level process • (macro) maps Quality • Cycle time Cost • Current statement Baseline • Improvement • goals • • •
• • • • • • •
Improve
• Exploratory data analysis • Design of Process analysis and documentation experiments • Hypothesis testing (DOE) Probability and statistics • Response surface Collecting and methodology summarizing data • Evolutionary Properties and operations (EVOP) applications of probability distributions Measurement system Analyzing process capability
Measure
Define •
Analyze
Tools • Process inputs and • outputs Drawing valid statistical conclusions • Central limits theorem and sampling distribution of the mean • Basic probability concepts • Types of data Measurement scales • Methods of collecting data Techniques for assuring • data accuracy and integrity • Descriptive statistics Graphical methods • Distributions • Measurement methods Measurement system • analysis • Metrology Process capability indices
Analyze Mutli-vary studies Measuring and modeling relationship between variables Simple linear correlation Diagnostics Fundamental concepts of hypothesis testing Point and interval estimation Tests for means, variances, and proportions Paried-comparison test Goodness-of-fit test Analysis of variance (ANOVA) Contingency table Non-parametric test
Control Statistical process control • Advanced statistical process control • Lean tools for control • Measurement system re-analysis •
Improve • •
• •
•
•
• • • •
Terminology Planning and organizing experiments Design principles Design and analysis of one-factor experiments Design and analysis of full-factorial experiments Design and analysis of two-level fractional experiments Taguchi robustness concepts Mixture experiments Steepest ascent / descent experiments Higher-order experiments
Control
• • • •
• •
Objectives and benefits Selection of variable Rational Sub grouping Selection and application of control charts Analysis of control charts PRE-control
ASQ – Six Sigma Black Belt Certification Body of
Lean Six Sigma Improvement Process Road Map Lean Enterprise Design for Six Sigma (DFSS) • Lean concepts Lean tools • Total productive maintenance (TPM) •
• • •
• •
Lean Enterprise • • •
• •
Theory of constrains Lean thinking Continuous flow manufacturing (CFM) Non-value-added activities Cycle-time reduction
Quality function deployment Robust design and process Failure mode and effects analysis (FMEA) Design for X (DFX) Special design toolsDesign
for Six Sigma (DFSS) Functional requirements • Noise strategies • Tolerance design • Tolerance and process capability •
ASQ – Six Sigma Black Belt Certification Body of
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