Root Cause Failure & Prediction Analysis with Solution Generation
Root Cause Failure & Prediction Analysis with Solution Generation – Day 1: Root Cause Failure Analysis
- Introductory Concepts: Understand the basics behind the root cause theories, system ideality (system value) and how system value can only be advanced by root cause resolution.
- Root Cause Analysis principles
- Understanding the Problem: The first and most important step in any problem-solving methodology
- Systems versus Component Failures
- Ideality and system value as driven by the continuous improvement of failure analysis
- Class Exercise: Write Ideal Final Result statements for existing commercial or industry challenges
- Case Study
- Identifying Potential Failure Causes
- Understand the Strengths and Limitations of:
- Fault tree analysis
- The 5-Why’s technique
- Ishikawa diagrams
- Flow charting
- FMEA
- Cause and Effect Chain (CEC): Learn how to use the most effective and versatile root cause analysis tool.
- Introduction
- Known versus theoretical issues
- CEC construction
- And/or relationships
- Root causes
- Class Exercise: Build a practice CEC of your choice
- FMEA: Learn how to merge CEC and FMEA functionality to accelerate time to solution
- Group Project Work: Create a CEC for your team project
- Understand the Strengths and Limitations of:
Root Cause Failure & Prediction Analysis with Solution Generation – Day 2: Root Cause Failure Analysis (continued)
- Functional Analysis: Learn the most powerful technique for fully understanding a complex system’s operation and how it will help you capture and understand all potential failure modes
- Functional language
- Component analysis
- Interaction analysis
- Functional Modeling (FM)
- Class Exercise: Build a practice FM of your choice
- Orchestration of Functional Modeling and CECs: Understand how CECs and FMs are directly related and augment each other
- Class Exercise: Coordinating your Class Exercise CECs and FMs (what did you miss on your CEC exercise and what did you miss on your FM exercise)
- System Trimming: Learn how to increase your system’s value while reducing the system componentry, thereby reducing failure modes, maintenance requirements and system costs
- Class Exercise: Trim your practice FM to increase the represented system’s value
- Group Project Work: Create an FM for your team project
- Failure Anticipation Analysis: Learn how to predict system failures and understand if they are possible or not based on understanding the available system resources
- Contradiction Analysis: Understand the fundamental requirements for innovative system advancements which increase system value and reduce failure modes.
- What are Contradictions and why are they important?
- Contradiction modeling
- Group Project Work: Develop contradiction statements from problem areas in your group project FM and for the roots of your CEC
Root Cause Failure & Prediction Analysis with Solution Generation – Day 3: Solution Generation
- Innovation Design Principles: Learn powerful principles for resolving system contradictions that are derived from an empirical study of over four million worldwide patents
- Introduction to the 40 Principles
- Choosing the correct principles
- Applying the principles
- Resource Analysis (for solutions): Understand how to look for locally available resources in support of solution generation
- Class Exercise: Save the passengers of the Titanic
- Technically Focused Brainstorming: How to eliminate this methodology’s weak points while leveraging its strengths
- Group Project Work: Apply the selected 40 Principles to the resolution of your group project FM and CEC contradictions
- Smart Little People: Learn a powerful empathy technique to support solution generation and design
- Class Exercise: Utilize the Smart Little People technique on one of the contradiction statements you have developed
- Solution Evaluation Techniques: Learn a simple technique to effectively judge solution concepts against term and quality
- Course Wrap-up: Course recap, Q/A, participant project reports, evaluation and feedback, and directions for future study