A Model-Based Approach to Performance and Reliability
On September 21 and 22, 2022 Crossover Solutions and The New Science of Fixing Things are hosting a Symposium at the
Embassy Suites by Hilton Detroit – Livonia/Novi
John and David, as Founding Members of The New Science of Fixing Things have been called upon by clients to help solve performance and reliability problems for the past thirty years. There is no other group which has
- made as significant contributions to advancing our science;
- developed a simpler format for training through workshops combined with projects;
- been more open about and sharing by publishing what we have developed in Diagnosing Performance and Reliability and blog stories.
In 2019, we helped a group of engineers in Utah discover why an oil and gas pipe inspection machine gave faulty values. It took less than a week.
In 2020, we were called to help a group of scientists discover why automotive lithium batteries in China were failing within months in the field. The project was completed in three weeks.
In 2021 we were asked to help a company in Kansas that made large (expensive) rubber products for the agricultural industry reduce scrap from 40% to 0% for the worst failure mode on one product. The project lasted two weeks. Another company quoted a year.
In 2022, a group of scientists had discovered a marker that is a precursor to a common disease. The marker gives health care professionals the ability to counter the effects of the disease earlier than under the current regime. Although the discovery was brilliant and exciting, the test results were unreliable. In just three days, the team had narrowed the possibilities to just one simple function. Several days later, the cause was confirmed.
Whenever we start a project, we know far less about the manufacturing process and the product than anyone else on the team. On every project, we work with confident, smart and often brilliant men and women.
What do we know that they don’t? Our strategy is based on a few facts of nature in the world of functional determinism;
- There are only seven energetic functions you can create with a machine, each dependent upon the relationship of two conjugate variables across multiple domains. Those functions can be described in serial and parallel diagrammatically.
- There are only three properties which are affected in conjunction with the seven energetic functions, regardless of the domain.
- There are only four Fundamental Models to decompose machine behavior leading to effective performance and reliability.
Why do brilliant engineers and technicians, as they did in each of the projects above, struggle for so long before we are called to help? There is only one answer possible:
The Model they use is FLAWED, and Models matter! You only get two things in science; Models and data.
- The strategy and tools they use are not consistent with how the physical world reveals its nature; First Principles.
- Teams fail to understand the importance and purpose of the first question in a search, often not even using a starting question, or the wrong one by default.
- The strategy they use is not only wrong, but it is imbedded in the organization, as if it were an old machine bolted to the floor, too big to replace with a large part of the organizational structure dedicated to keeping it in place.
On September 21, we will describe projects we have worked on over the years, the evolution and growth of The New Science of Fixing Things, outline the strategies, and use Game Theory to show why organizational structure impedes the ability of smart and brilliant people to solve tough problems in government, organizations and problem solving teams. September 21 will be devoted to organizational models and why they matter, and how the Analytic Logic Map by The New Science of Fixing Things can guide your organization to achieve results just like we do!
On September 22, John and David will narrow the focus to introduce you to the fourth of our strategies. This is the first time this powerful system will be presented in a public forum.
The Source-Load-Impedance Model, or Z-Strategies, is based on the simple principle of the second law of thermodynamics. What we have done is to develop a system to diagram and monitor the flow of energy through a machine as it is transmitted, directed and changes domains to perform useful functions. As power and energy is transmitted, losses are accounted for with conjugate variables. This Model led to a simple definition of quality and reliability.
Quality – How well does a machine work at t0?
Reliability – How long does it work well?
Our E-FAST Model diagrams the flow of energy to create required functions, and the energetic losses associated with those functions. The performance can readily be graphically represented on the Effort-Flow Workspace at t0, and monitored through selective sampling to monitor the increase in energy losses, which we all know not only decreases effective performance, but breaks the weakest link.
There are only 50 seats, so register early. Payment will be accepted no earlier than 90 days before the event, when an invoice with payment information will be provided. Reserve your place for by contacting John at firstname.lastname@example.org
Cost $1000 for both days
Managing and Executing an Effective Model for Technical Problem Solving and the Source-Load-Impedance Model
Each person will receive a copy of
Diagnosing Performance and Reliability
By David Hartshorne
Also available on Amazon for $99.99
Recent comments from our clients:
“One of our engineers employed TNSFT to converge on a causal explanation for a problem that has plagued our company for decades. He converged on the causal explanation in about 30 minutes. It’s an incredible story and testament to the power of your methodology.“
“I had a lot of fun working with you and would love to keep in touch, if you find yourself in this area let me know! And I also intend to support and build an effective problem solving culture at my company as we grow! I am certain we will want to keep working with you, I think we learned more in our week with you than we did in the last year!“