We define automation as a process that includes automatic behaviors which can be self-executing or human triggered. A sound knowledge of a given reality is necessary to apprehend its automation. The deeper the knowledge the higher is the possibility to automate a process.
The deeper the knowledge of the wholeness of a reality, the better the automation solution in terms of energy consumed to reintegrate its parts.
The first aspect to be considered is to relate the architecture of a given reality with its conceptual engineering.
Conceptual engineering defines the architecture of a problem. To do so it is necessary to structure the concept of that reality.
Architecture is used to define the concepts of a reality materializing them as solutions, within the possibilities of existing knowledge.
Redesigning the automation of a process implies restructuring its functionality in terms of effectiveness.
Effectiveness = Efficiency*Efficacy*Automation
The concept of effectiveness was discovered at the beginning of the seventies.
The first approach to effectiveness implied adding efficiency and efficacy to achieve the best possible result.
It was an empirical solution to develop work processes optimizing the efficiency of the systems and the efficacy of humans.
In those times people were trained to develop the necessary skills to manage their work processes.
The results of this approach were inconsistent. “Change resistance” was the natural explanation for inadequate results.
The research on effectiveness, considered as an adaptive complex system, showed that its components should not be added, but should be integrated. Integration means conjunction. Conjunction, in mathematical terms, means multiplication.
This was the first approach to the conceptual analysis of work processes, which implied the integration of the three components of Effectiveness (Automation, Efficacy and Efficiency). In those times they were considered as variables, which at the end were defined as the functions of a concept or the dimensions of an ontology.
Analyzing a work process from this point of view implies recognizing a different aspect of a workflow. This approach is much more flexible and offers much more possibilities than the empirical addition of efficacy + efficiency.
NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. http://www.unicist.org