Introduction to Six Sigma

• An overview of the principles, concepts, and goals of Six Sigma
• History and benefits.

DMAIC Methodology

Process Mapping

• Areas of improvement
• Potential sources of variation or defects

Data Collection and Analysis

• Techniques for collecting relevant data
• Selecting appropriate measurement metrics
• Using statistical tools to analyze and interpret the data

Statistical Process Control (SPC)

• Control charts
• Statistical methods to monitor and control process performance, detect variations, and take corrective actions

Measurement Systems Analysis (MSA)

• Techniques for assessing and ensuring the accuracy, precision, and reliability of measurement systems used in data collection

Root Cause Analysis (RCA)

• Methods for identifying the underlying causes of process issues or defects
• Ishikawa diagrams (fishbone diagrams)
• 5 Whys
• Cause-and-effect analysis

Design of Experiments (DOE)

• Applying statistical experimentation techniques to optimize processes
• Identify critical process parameters
• Understand their impact on process performance

Lean Principles

• Introduction to lean concepts and tools for waste reduction
• Process flow improvement
• Overall efficiency enhancement

Project Management

• Project management methodologies and tools
• Project chartering
• Stakeholder management
• Project execution and control

Change Management

• Strategies for effectively managing change within an organization

Six Sigma Tools

• Six Sigma tools and techniques
• Pareto charts
• Cause-and-effect matrices
• Process capability analysis
• Failure Mode and Effects Analysis (FMEA)
• Control plans