Course Overview
This course provides a comprehensive understanding of Dependent Failure Analysis (DFA), focusing on the identification and mitigation of interconnected risks within automotive systems. Participants will explore concepts such as independence, interference, and freedom from interference, and their impact on system reliability. Through real-life case studies, interactive exercises, and hands-on simulations, attendees will learn to identify common cause failures, cascading failures, and their implications. The program equips participants with actionable skills to enhance system resilience, reduce operational risks, and ensure uninterrupted functionality in automotive manufacturing.
Features
- Understand and apply key concepts like independence, interference, and freedom from interference in system analysis.
- Identify and mitigate risks associated with dependent, common cause, and cascading failures.
- Analyze real-world scenarios to develop strategies for enhancing system reliability.
- Analyze real-world scenarios to develop strategies for enhancing system reliability.
Target audiences
- Engineers, quality assurance specialists, risk analysts, and system reliability professionals, who are responsible for ensuring system resilience and minimizing operational risks
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Introduction to Dependent Failure Analysis (DFA)
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Key Principles in DFA
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Definitions and applications of independence and interference in failure analysis.
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Explanation of how these concepts contribute to system resilience.
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Understanding how dependency, interference, and independence affect failure rates and system reliability
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Identifying interference-related issues within automotive systems.
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Real-life Examples: Interference issues in auto components, such as electrical interference affecting electronic systems.
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Interactive Element: Analyze interference risks within a hypothetical auto component system.
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Relationship Between DFA, Freedom from Interference, and Independence
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Key interactions between DFA, freedom from interference, and system independence.
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Explore these relationships and their combined impact on system reliability.
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Examples of dependencies that could introduce vulnerabilities in auto systems.
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Case study: The impact of dependency in automotive parts, such as suspension systems.
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Steps in Conducting a Dependent Failure Analysis
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Common Cause Failure (CCF)
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Definitions, examples, and causes, with an emphasis on identifying and mitigating CCF risks.
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Examples: Automotive Manufacturing Areas where CCF is most likely to impact operations.
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Case study: How CCF affected real auto manufacturing setups.
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Interactive Simulation: Groups identify potential common causes for failure in a hypothetical system.
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Cascading Failure
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Definition, causes, and prevention strategies specific to automotive component systems.
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Recognizing interconnected risks in multi-component systems.
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Examples: Automotive Chain reactions triggered by one component failure impacting multiple systems.
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Case study: Cascading failures in automotive manufacturing.
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Interactive Simulation: Participants work through a cascading failure scenario in a hypothetical auto manufacturing context.
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Conclusion and Q&A