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Keys steps in the Methodology
The Unifying Theory of Entropy describes the formation of a system
from processes and the rules for systems to combine into arrays and
clusters. For use in existing organisations, technologies, strategies
etc. the method of analysis is based on mapping the component systems
and their composite processes as flow charts.
The steps involved are:
1. Determine the "systems chain" that leads to the direct
goal of the systems array
This is the core business of the organisation involved, what it delivers
as a service or profit or outcome. This is the prime function of the
organisation. The systems chain may appear as a linear or nonlinear
array (including natural networks) of systems or any combination of
these geometries that deliver the desired outcome.
2. Map out the systems comprising the "systems chain"
Once the systems chain is identified, subdivide the chain into component
systems (key steps along the road to delivery and profits). Systems
are linked through value-adding steps that are anchored when the desired
outcome is achieved.
3. Re-design individual systems within the chain or alter the juxtaposition
of systems within the chain
Once the key systems chain is understood, the problems experienced
by the organisation will have apparent causes that can be eliminated
by either re-designing or removing systems from the chain or by moving
systems into a new configuration. The Living Business Systems' methodology
describes the rules for doing this.
4. Map out the supporting systems that inhibit the progress of the
systems chain
Where problems cannot be resolved within the systems chain then it
becomes necessary to drill down through the supporting systems to locate
the problem. Layer upon layer of systems support most system chains.
The same rules apply to supporting systems as to the systems chain.
The Unifying Theory of Entropy allows complex systems to be analysed
much more easily than by using traditional mathematics. Instead, the
Theory uses a new paradigm based on geometries and their behaviour.
Once understood, this new paradigm allows systems to be analysed much
more quickly and effectively than using other methods.
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