Defining order parameters in Lean Six Sigma environment

Thermodynamic laws applied in science are part of the universal laws that govern our Universe therefore interconnectivity, chaos and order, degrees of cooperation and collaboration that we see in companies are part of the natural phenomena and its manifestation.
In the companies we refer to customer complaints, internal insatisfaction, budget deficits etc. while in science we refer to critical points beyond which we will see major changes. The flaws in the model organization do not lie in the structural implications, but rather are due to their mean-field approximations and their neglect of large fluctuations near critical points.

There is a theory named renormalization group theory that shows that the behavior near transition share the same behaviors, depending mainly on an order parameter and the dimensionality of the system. Mathematically we need to define the order parameter of the system which is a quantity "m" on which the free energy depends. The main characteristic that has an impact on the free energy therefore on the order of the parameter is temperature. The order parameter "m" is zero above the critical temperature, indicating that the system is disordered or randomly mixed. "m" is non –zero below the critical temperature, indicating that the system is ordered or phase-separated in some way. A company or a system can define its order parameters if the system is set-up to determine the free energy levels and its order parameters.
Lean Six Sigma has the tools to provide at least a collection of data that can be then analyzed and interpreted to allows measures to be taken at critical points.

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