System Thinking
System thinking is any process of estimating or inferring how local policies, action, or changes influences the state of the neighboring universe. It is an approach to problem solving that views problem as part of an overall system, rather than reacting to present outcomes or events and potentially contributing to further development of the undesired issues and problem. Systems thinking is a framework that is based on the belief that the component parts of a systems, rather than in isolation. The only way to fully understand why a problem or element occurs and persists is to understand the part in relation to the whole. Standing in contrast to Descartes scientific reductionism and philosophical analysis thinking concerns an understanding of a system by examining the linkages and interactions between the elements that compose the entirety of the system.
System thinking attempts to illustrate that events are separated by distance and time and that small catalytic events can cause large changes in complex systems. Acknowledging that an improvement in one area of a system can adversely affect another area of the system, it promotes organizational communication at all level on order to avoid the silo effect, systems thinking techniques may be used to study any kind of system- natural, scientific, engineered, human, or conceptual.
The concept of a system
Both systems thinkers and futurists consider that
- a
system is a dynamic and complex whole, interacting as a structured functional unit.
- Energy, material and information flow among the different elements that compose a
system.
- A
system is community situated within an environment.
- Energy, material flow from and to the surrounding environment via semi-permeable membrane or boundaries.
-
System are often composed of entities seeking equilibrium but can exhibits oscillating chaotic, or exponential behavior.
A holistic
system is any set (group) of interdependent or temporally interacting parts. parts are generally
systems themselves and are composed of other parts, just as systems are generally parts of other systems.
System and the application of systems thinking has been grouped into three categories based on the techniques used to tackle a
system.
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Hard systems - involving simulations, often using computers and the techniques of operations research. Useful for problems that can justifiably be quantified. However it cannot easily take into account unquantifiable variables (opinions, culture, politics, etc) and may treat people as being passive, rather than having complex motivations.
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Soft system - for systems that cannot easily be quantified especially those involving people holding multiple and conflicting frames of reference. Useful for understanding motivations, viewpoints, and interaction and addressing qualitative as well as quantitative dimensions of problem situations. Soft systems are a field that utilize foundation methodological work developed by peter check land, Brian Wilson and their colleagues at Lancaster university. Morphological analysis is a complementary method for structing and analyzing non-quantifiable problem complexes.
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Evolutionary system - Bela H Banathy developed a methodology that is applicable to the design of complex social systems. This technique integrates critical system inquiry with soft systems methodology. Evolutionary systems, similar to dynamic systems are understood as open, complex system, but with the capacity to evolve overtime. Banathy unique integrated the interdisciplinary of system research including chaos, complexity, cybernetics, cultural anthropology, evolutionary theory, and others.
The systems thinking approach incorporates several tenets
• Interdependence of objects and their attributes- independent elements can never constitute a system.
• Holism- emergent properties not possible to detect by analysis should be possible to define by a holistic approach.
• Goal seeking- systemic interaction must result in some goal or final state.
• Inputs and outputs- in a closed system inputs are determined once and constant in an open system additional inputs are admitted from the environment.
• Transformation of inputs into outputs- this is the process by which the goal are obtained.
• Entropy- the amount of disorder or randomness present in any system.
• Regulation- a method of feedback is necessary for the system to operate predictably.
• Hierarchy- complex wholes are made up of smaller subsystems.
• Differentiation- specialized units perform specialized functions.
• Equifinality- alternative ways of attaining the same objectives( convergence).
• Multifinality- attaining alternative objectives from the same inputs (divergence).
Applications
System thinking is increasingly being used to tackle a wide variety of subjects in fields such as computing, engineering, epidemiology, information science, health, manufacture, management, and the environment.
Some examples
• Organizational architecture
• Job design
• Team population and work unit design
• Linear and complex process design
• Supply chain design
• Business continuity planning with