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Course Outline
1. Introduction to Quality Core Tools
- Overview of Quality Core Tools within the automotive industry.
- The purpose and importance of these tools.
- The relationship between Quality Core Tools and automotive quality standards.
- Overview of key tools:
- Advanced Product Quality Planning (APQP)
- Production Part Approval Process (PPAP)
- Failure Mode and Effects Analysis (FMEA)
- Statistical Process Control (SPC)
- Measurement Systems Analysis (MSA)
- How Quality Core Tools support prevention-based quality management.
2. Advanced Product Quality Planning (APQP)
2.1 APQP Fundamentals
- Purpose and objectives of APQP.
- The product and process development lifecycle.
- Customer requirements and quality expectations.
- Adopting a cross-functional team approach.
2.2 APQP Phases
- Phase 1: Planning and defining the program.
- Phase 2: Product design and development.
- Phase 3: Process design and development.
- Phase 4: Product and process validation.
- Phase 5: Feedback, assessment, and corrective action.
2.3 Practical APQP Application
- Developing an APQP project plan.
- Identifying key milestones.
- Managing risks during product development.
- Aligning APQP activities with customer requirements.
3. Production Part Approval Process (PPAP)
3.1 PPAP Overview
- Purpose of PPAP.
- Scenarios requiring PPAP.
- Customer approval expectations.
- PPAP levels and submission requirements.
3.2 PPAP Documentation
- Understanding PPAP elements:
- Design records.
- Engineering change documentation.
- Process flow diagrams.
- Control plans.
- Measurement system studies.
- Dimensional results.
- Material and performance test results.
- Initial process studies.
3.3 PPAP Implementation
- Preparing PPAP packages.
- Reviewing supplier submissions.
- Common challenges in PPAP.
- Maintaining PPAP compliance.
4. Failure Mode and Effects Analysis (FMEA)
4.1 FMEA Fundamentals
- Purpose of FMEA.
- Prevention versus detection strategies.
- Types of FMEA:
- Design FMEA (DFMEA)
- Process FMEA (PFMEA)
4.2 Performing FMEA Analysis
- Identifying potential failure modes.
- Understanding causes and effects.
- Evaluating:
- Severity.
- Occurrence.
- Detection.
- Risk prioritization.
- Defining preventive and corrective actions.
4.3 Practical FMEA Workshop
- Creating a simplified FMEA example.
- Reviewing risks in manufacturing processes.
- Developing improvement actions.
5. Statistical Process Control (SPC)
5.1 SPC Fundamentals
- Purpose of statistical process control.
- Common variation concepts:
- Common cause variation.
- Special cause variation.
- Process stability and capability.
5.2 SPC Tools and Techniques
- Control charts:
- X-bar and R charts.
- Individual and moving range charts.
- Attribute control charts.
- Process capability analysis:
- Cp.
- Cpk.
- Interpreting SPC results.
5.3 Applying SPC in Manufacturing
- Selecting process parameters to monitor.
- Establishing control limits.
- Responding to out-of-control conditions.
- Driving continuous process improvement.
6. Measurement Systems Analysis (MSA)
6.1 MSA Fundamentals
- The importance of measurement accuracy.
- Sources of measurement variation.
- Measurement system requirements.
6.2 Gauge Repeatability and Reproducibility (Gage R&R)
- Distinguishing between repeatability and reproducibility.
- Conducting Gage R&R studies.
- Interpreting results.
- Improving measurement systems.
6.3 Practical MSA Application
- Evaluating measurement equipment.
- Identifying measurement issues.
- Selecting appropriate measurement methods.
7. Integrating Quality Core Tools into Quality Management Systems
- Linking Quality Core Tools with quality management processes.
- Supporting continuous improvement initiatives.
- Utilizing tools throughout the product lifecycle.
- Fostering cross-functional collaboration.
- Managing supplier quality.
- Maintaining documentation and traceability.
- Cultivating a prevention-focused quality culture.
8. Hands-on Workshop and Summary
- Applying Quality Core Tools to a manufacturing case study.
- Developing:
- APQP overview plan.
- Simplified PFMEA.
- Control plan.
- SPC analysis.
- MSA evaluation.
- Reviewing relationships between tools.
- Addressing common implementation challenges.
- Questions and answers session.
- Next steps for quality professionals.
Requirements
- Fundamental knowledge of quality management systems.
- Familiarity with manufacturing processes and operational environments.
Target Audience
- Quality engineers.
- Process engineers.
7 Hours
