Six Sigma and SPC Fundamentals

Course Description

Understand Six Sigma methodology and Statistical Process Control (SPC) for quality improvement in manufacturing.

Course Content:

• Overview of Six Sigma principles and objectives
• Understanding the phases of Define, Measure, Analyze, Improve, and Control
• Introduction to statistical process control tools
• Techniques for effective data collection and analysis
• Exploring different types of control charts
• Real-world applications of Six Sigma and SPC
• Practical application of statistical tools on data sets
• Using tools like fishbone diagrams and 5 Whys
• Applying tools like Pareto charts and flow diagrams
• Basics of lean principles and waste reduction
• Presenting findings and improvement plans
• Comprehensive review and individual evaluation

Applications and Hands-On:

• Identifying opportunities for improvement in case studies
• Creating a project charter for a mock problem
• Charting sample process data
• Analyzing production data for trends
• Creating and interpreting control charts
• Team analysis of case studies
• Group work analyzing a provided data set
• Root cause analysis for a simulated issue
• Creating quality improvement tools for a project
• Identifying waste in a mock process
• Final presentation preparation and delivery
• Completing a real-world simulation project

Resources Provided:

• SPC software/tools
• Case studies
• Data sets for practice