• Quality Coordinators
• Improvement Team Members
• Operations Supervisors
• Quality Staff
• Performance Analysts
• Production Staff
• Project Coordinators
• Operations Professionals

What is Six Sigma?

• Data-driven processes and decisions
• Defining and calculating sigma levels
• Customer-focused continuous process improvement
• Common Six Sigma implementation challenges

Six Sigma History and Application

• Statistical process control development
• Toyota Lean system evolution
• Motorola and General Electric applications
• Certification levels and knowledge application

Other Process Improvement and Quality Methods

• Lean process management approaches
• Total quality management applications
• Business process reengineering methods
• Selecting suitable improvement methodologies

Lean Concepts

• Seven forms of process waste
• Applying the 5S methodology
• Just-in-time manufacturing system principles
• Distinguishing major waste types

Basic Six Sigma Concepts

• Standard deviation and Pareto principle
• Voice of customer methods
• Core process defect metrics
• First and rolled throughput yield

Approaching the Problem

• Process output factor relationships
• Applying the Five Whys
• Building effective problem statements
• Converting problems into objectives

What is a Process?

• Four process definition layers
• Inputs outputs events and tasks
• Process owner responsibilities and data
• Building SIPOC process diagrams

Quality

• Identifying critical quality characteristics
• Converting customer needs into metrics
• Calculating cost of poor quality
• Managing total quality costs

Selecting the Right Projects

• Balancing improvement project portfolios
• Enterprise-level project selection methods
• Evaluating project viability models
• Process-level project selection methods

Basic Six Sigma Team Management

• Building effective Six Sigma teams
• Defining team member roles
• Planning timelines and milestones
• Managing budgets and success measures

Introduction to DMAIC and DMADV

• Comparing DMAIC and DMADV methodologies
• Define measure analyze phases
• Improve and control phases
• Design and verify phases