Industrial Dynamics Applied
I provide individual, independent,consulting services for large and small industrial and business clients to help with problems in management, planning, manufacturing or marketing, to develop better methods or better understanding of production, distribution and business processes by working with their staff and managers to get to the point where together we can not only explain logically what is going on, but can be sure enough of our understanding that we can calculate and put numbers to things; to quantify our answers.
As well as the normal Operations Research tools, there is an underlying theme which goes back to the ideas of Jay W. Forrester, applying the concepts of engineering dynamic systems analysis to business and micro-economics: "Industrial Dynamics", MIT Press, 1961

Practical Answers with realistic numbers
The objective is to give practical quantified solutions, based on being able to quantify the important factors and take the guesswork out of the business decision making processes. The dynamic, time dependent behaviour of the business activity is reproduced, with graphical and numerical outputs.

Dynamo Language
Jay Forrester was responsible for the creation of the DYNAMO (DYNamic MOdeling) language in which the earlier examples of the applications of Industrial and Urban and World dynamics were programmed. In effect it was a simulation language, where dynamic systems are described by their causal relationships. Dynamo persisted in various forms till the early 1980s.
My own first applications were done using IBM360 CSMP in the late 1960s. Now the functionality is available using tools like Matlab/Simulink, or the open source (free) SciLab and Xcos. I have made a very simple (also free) tool McSimAPN that will give the user the ability to make the models and run them, hands on, like an analog simulator, which is pretty much where Jay Forrester started.

Applications
I (and my staff and colleagues) applied the ideas to:

Other Experience
My experience with problems over these time scales is that people rarely expand their time horizons far enough to see the whole picture. Even if they try, they tend to miss interaction effects and think more in terms of extrapolating, sometimes with statistical models, from the recent past.
That statistical approach can be a powerful diagnostic and relationship identifying tool, but doesn't tell much about causality or accomodate the common sense knowledge that people have about what is happening or might be happening. Building the causal models provides for the incorporation and testing of that understanding. When the casual model can generate statistically equivalent results we know we are gaining understanding.
My (MJMcC) observation is that the demographics and the compelling force of reality can be quantified to make a big improvement in perception. You only have to contact me to get help!

How I work with clients. I don't start with preconceived ideas about what wiil be good for a client's business. My style of working is to contribute to a project or department by acting as advisor, toolmaker and problem solver, by adding special experience and skills and by being able to give the independent view of things that is so hard to find inside many organisations.
You can find out more about how I work with clients, confidentiality, ethics, fees etc on the contact page of this website.