For Tough Problems...
When Common Approaches Don't Work...
Overviews, Training & Workshops
Advanced Reliability Engineering
AI-Assisted Advanced Reliability Practices for Improving Semiconductor Manufacturing Equipment Performance.
These module titles may seem basic and familiar, but they are likely to be much more rigorous than what you are used to.
Five training modules covering:
Examples and Case Studies
Science-Based Causal Analysis
aka Physics-Based Causal Analysis
Science-Based Causal Analysis is a method of understanding and analyzing systems and phenomena by using principles from science to identify and quantify causal relationships.
Far more rigorous that common techniques used today, including better breadth and depth.
This method identifies key contradictions at the heart of the toughest problems, and frames them in such a way that they can be solved completely with TRIZ.
Exploiting Artificial Intelligence
Utilizing AI Tools to:
Provide valuable overviews as well as a deeper understanding of the system, thereby enabling more participation.
Assist in performing the specific tools and methods in this approach, including:
Science-Based Causal Analysis, including the ongoing refinement of the problem statement(s).
Understand and incorporate the possible human cognitive / behavioral contributions to the problems.
Assist in using "Separation Strategies" from "TRIZ" to create numerous elegant solutions to the most difficult problems, or contadictions.
Whether or not it is clear that a human is somehow involved in the process, they probably are.
Addresses several often-ignored areas of causes, e.g.
Generating Elegant Solutions with TRIZ
TRIZ is an approach that combines an organized and systematic method for problem solving with analysis and forecasting techniques derived from the study of patterns of invention in the global patent literature.
It is a huge body of knowledge that is not quick or easy to learn, and therefore it is not wide spread.
Other popular methods are more easiily learned, but the capability of TRIZ is far superior.
Instead of striving for incremental improvement as is done with Six Sigma. The expectation with TRIZ is to completely eliminate the problem, with powerful and systematic approach.