Root Cause Analysis (RCA) – 12 Modules | One Day USD: 150/- and Two Day USD: 250/- Per Pax.
Description
Module 1: Introduction to Root Cause Analysis
- What is RCA and why it’s important
- Difference between symptoms and root causes
- Benefits of RCA in safety and quality management
Module 2: Understanding Incidents and Failures
- Types of incidents and failures
- Relationship between human error, system failure, and process gaps
- Examples of preventable incidents
Module 3: Principles of Effective Problem Solving
- Systematic vs. reactive problem-solving
- Key steps in the RCA process
- Mindset for continuous improvement
Module 4: Data Collection and Evidence Gathering
- Gathering accurate and reliable information
- Interviews, documents, photos, and physical evidence
- Avoiding bias during data collection
Module 5: Event and Causal Factor Charting
- Constructing event timelines
- Identifying contributing factors
- Mapping cause-and-effect relationships
Module 6: RCA Tools and Techniques – Part I
- The “5 Whys” method
- Fishbone (Ishikawa) Diagram
- Pareto Analysis
Module 7: RCA Tools and Techniques – Part II
- Fault Tree Analysis (FTA)
- Barrier Analysis
- Change Analysis
Module 8: Human Factors and Organizational Causes
- Human error types and performance influences
- Systemic and organizational root causes
- Behavior-based safety and culture link
Module 9: Developing Corrective and Preventive Actions (CAPA)
- Translating findings into effective actions
- Ensuring actions address root causes, not symptoms
- SMART action planning (Specific, Measurable, Achievable, Relevant, Time-bound)
Module 10: Validation and Effectiveness Review
- Verifying that corrective actions work
- Monitoring performance indicators
- Continuous improvement cycles
Module 11: RCA Report Writing and Presentation
- Structure and format of RCA reports
- Visual presentation of findings (charts, diagrams)
- Communicating results to management
Module 12: Case Studies and Practical Exercises
- Real-world RCA examples from industry
- Group workshops and simulations
- Lessons learned and best practices
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