Course Outline

Module 1: Introduction to Statistical Process Control

• Overview of SPC principles and benefits
• Key concepts: variability, control charts, and process stability
• Types of control charts: Shewhart, p-chart, and np-chart
• How to create and interpret control charts
• Case Study: Analyzing a production line using Shewhart control charts

Module 2: Understanding and Measuring Process Variability

• Techniques for measuring process variability
• Sources of variation: common cause vs. special cause
• Statistical methods for analyzing variability
• Tools for variability reduction
• Case Study: Identifying and addressing sources of variability in a manufacturing process

Module 3: Process Capability Analysis

• Introduction to process capability and performance indices
• Calculating Cp, Cpk, Pp, and Ppk
• Interpreting process capability results
• Techniques for improving process capability
• Case Study: Evaluating process capability in a quality control setting

Module 4: Advanced Control Charts and Techniques

• Introduction to advanced control charts: Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA)
• When and how to use advanced charts
• Combining control charts with process capability analysis
• Real-world applications and troubleshooting
• Case Study: Implementing and interpreting CUSUM charts in a production environment

Module 5: SPC Implementation and Best Practices

• Steps for successful SPC implementation in an organization
• Best practices for maintaining and updating SPC systems
• Training and involving staff in SPC initiatives
• Measuring and sustaining SPC benefits
• Case Study: Developing an SPC implementation plan for a manufacturing company