Training Agenda: Statistical Process Control (SPC)
Duration: 1 Day
Target Audience: Quality Engineers, Process Engineers, Manufacturing Personnel, and those involved in continuous improvement and process control.
Objective: To provide participants with a comprehensive understanding of SPC concepts, tools, and application in monitoring and improving process quality according to AIAG standards.
Registration and Welcome
- Introduction to the course
- Course objectives and overview
- Participant introductions
Introduction to SPC
- What is SPC?
- Benefits of implementing SPC
- Overview of AIAG guidelines and relevance in the automotive industry
- Key SPC Terminology
Understanding Process Variation
- Types of variation (common vs special causes)
- Concept of stability and capability
- The importance of understanding variation in process control
Break
Control Charts
- What are control charts?
- Types of control charts (X-Bar, R, P, NP, etc.)
- Selecting the appropriate control chart for your process
- Interpreting control charts:
- Understanding control limits
- Recognizing patterns and signals of process instability
- Dealing with out-of-control conditions
- Practical exercise: Creating and interpreting control charts
Lunch Break
Process Capability Analysis
- What is process capability?
- Calculating Cp, Cpk, Pp, and Ppk
- Interpreting capability indices
- Practical exercise: Capability analysis and interpretation
Application of SPC in Manufacturing
- Steps to implement SPC on the shop floor
- Identifying key characteristics for monitoring
- How to collect data and maintain SPC charts
- Practical examples of SPC in real-world manufacturing
Break
SPC Software and Automation
- Overview of popular SPC software tools
- Benefits of automating SPC data collection
- Integrating SPC with other quality management systems
Common Challenges and Best Practices
- Addressing challenges in SPC implementation
- Case studies and industry examples
- Best practices for sustaining SPC
Wrap-Up and Q&A
- Key takeaways
- Q&A session
- Feedback and evaluation
