Difference between revisions of "Systems Thinking"

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*[[What is Systems Thinking?]]
 
*[[What is Systems Thinking?]]
 
*[[Concepts of Systems Thinking]]
 
*[[Concepts of Systems Thinking]]
*[[Principles and Patterns of Systems Thinking]]
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*[[Principles of Systems Thinking]]
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*[[Patterns of Systems Thinking]]
 
*[[Overview of Systems Approaches]]
 
*[[Overview of Systems Approaches]]
  

Revision as of 15:54, 6 August 2012

This Knowledge Area (KA) provides a guide to knowledge about systems thinking which is the integrating paradigm for systems science and Systems Approaches to practice.

This is part of the wider systems knowledge which helps to provide a common language and intellectual foundation for systems engineering as discussed in the Introduction to Part 2.

To download a PDF of all of Part 2 (including this knowledge area), please click here.

Topics

The topics contained within this knowledge area include the following:

Introduction

systems thinking is concerned with understanding or intervening in problem situations, based on the principles and concepts of the systems paradigm. This KA offers some basic definitions of systems thinking. The following diagram summarizes how the knowledge is presented.

Figure 1. Systems Thinking and Systems Science. (SEBok Original)

Systems Thinking considers the similarities between systems from different domains in terms of a set of common Systems Concepts, Principles and Patterns.

  • A principle is a rule of conduct or behavior. To take this further, a principle is a “basic generalization that is accepted as true and that can be used as a basis for reasoning or conduct” (WordWeb.com).
  • A concept is an abstraction, or a general idea inferred or derived from specific instances.

Principles depend on concepts in order to state a “truth.” Hence, principles and concepts go hand in hand; principles cannot exist without concepts and concepts are not very useful without principles to help guide the proper way to act (Lawson and Martin 2008).

Many sources combine both concepts and the principles based on them. In the Concepts article have extract concept from the work of a variety of theory and practice sources. A summary of important principles referred back to the concepts upon which they are based is also provided.

A pattern is an expression of observable similarities found in systems from different domains. Patterns exist in both natural and man-made systems, and are used in systems science and systems engineering. A summary of the different classes of patterns and the use of patterns to support a Systems Approach is discussed in the final article of this KA.

The practical application of Systems Thinking is often through the use of abstract System Representations or models. Some mention of these models is made in the KA, and a more complete guide provided in Representing Systems with Models.

References

Works Cited

Lawson, H., and J.N. Martin. 2008. "On the Use of Concepts and Principles for Improving Systems Engineering Practice". Proceedings of the 18th Annual International Council on Systems Engineering (INCOSE) International Symposium, 5-19 June 2008, Utrecht, The Netherlands.

Primary References

Bertalanffy, L. von. 1968. General System Theory: Foundations, Development, Applications. Revised ed. New York, NY: Braziller.

Checkland, P. 1999. Systems Thinking, Systems Practice, New York, NY, USA: John Wiley & Sons.

Churchman, C. W. 1968. The Systems Approach and its Enemies. New York, NY, USA: Dell Publishing.

Flood, R. L. 1999. Rethinking the Fifth Discipline: Learning Within The Unknowable. London UK: Routledge.

INCOSE. 2011. INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities, version 3.2.1. San Diego, CA, USA: International Council on Systems Engineering (INCOSE), INCOSE-TP-2003-002-03.2.1.

Additional References

Ackoff, R.L. 1971. "Towards a System of Systems Concepts". Management Science. 17(11).

Hitchins, D. 2009. "What Are the General Principles Applicable to Systems?" Insight 12(4).

Lawson, H. 2010. A Journey Through the Systems Landscape. London, UK: College Publications, Kings College.


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