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Temario del curso
1. Introduction to Quality Core Tools
- Overview of Quality Core Tools in the automotive industry
- Purpose and importance of Quality Core Tools
- Relationship between Quality Core Tools and automotive quality standards
- Overview of:
- 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
- Product and process development lifecycle
- Customer requirements and quality expectations
- 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
- Creating an APQP project plan
- Identifying key milestones
- Managing risks during product development
- Linking APQP activities with customer requirements
3. Production Part Approval Process (PPAP)
3.1 PPAP Overview
- Purpose of PPAP
- When PPAP is required
- 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 PPAP challenges
- Maintaining PPAP compliance
4. Failure Mode and Effects Analysis (FMEA)
4.1 FMEA Fundamentals
- Purpose of FMEA
- Prevention versus detection approaches
- 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
- Continuous process improvement
6. Measurement Systems Analysis (MSA)
6.1 MSA Fundamentals
- Importance of measurement accuracy
- Sources of measurement variation
- Measurement system requirements
6.2 Gauge Repeatability and Reproducibility (Gage R&R)
- Repeatability versus 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
- Using tools throughout the product lifecycle
- Cross-functional collaboration
- Supplier quality management
- Documentation and traceability
- Creating 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
- Common implementation challenges
- Questions and answers
- Next steps for quality professionals
Requerimientos
- Basic understanding of quality management systems
- Familiarity with manufacturing processes and environments
Audience
- Quality engineers
- Process engineers
7 Horas
