Driving Business Impact
with Engineering Precision
General Resources:
http://reliabilityanalyticstoolkit.appspot.com
Target Audiences for Learning:
Management
General Population
Groups / Departments
Teams
Individual Champtions
Format:
On-line or In-Person
Short, High-Level Overviews
4-8 Hour Hands-On Experiences
3-4 Day Workshops
Longer-Term Coaching / Mentoring
Overviews, Training & Workshops
Any of these can be combined. Each one can be delivered as an overview, a short or long training class, or as a customized workshop.
Setting Reliability Goals
Data Collection & Analysis
Science-Based Causal Analysis
Utilizing AI Tools for These Methods
Cognitive-Behavioral Aspects of Human Impact on Failures
Systematic Solution Generation with TRIZ
Reliability Test Plans
More detail is available in this document.
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:
Setting Reliability/Performance Goals
Data Collection & Analysis
Science-Based Causal Analysis
Systematic Solution Generation
Reliability Test Plan
DOCUMENTS FOR MORE INFO & BACKGROUND:
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.
Handouts:
Open Source 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.
Handouts/Cheatsheets:
AI Tools for Innovation
Master ChatGPT
Helpful Prompts
Cognitive-Behavioral Analysis
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.
Psychology
Heuristics
Cognitive Bias
Emotion
Motivation
Behavior
Sociology
Social Norms
Crowd Influence
Group Dynamics
Legal Theory
Definitions
Criteria for crime
Contributing factors
Handouts:
Examples & Case Studies
Cheatsheets on Cognitive Bias
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.
Key Resources:
"TRIZ Power Tools" by Larry Ball
Resource list from "Classical TRIZ"
Links to free databases containing many ways to provide a desired function, as seen in the world's patents.
A variety of cheatsheets