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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Problem Solving and Increase of Ideality of Complex Systems
verfasst von : Helena V. G. Navas
Erschienen in: Transdisciplinary Perspectives on Complex Systems
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Abstract
In complex systems the need to solve problems is constant. Numerous techniques for solving specific problems developed in various areas are clearly insufficient. Humanity needs multidisciplinary generic methods to find solutions to specific problems. Organizations need to learn to use and develop their ability to solve problems in an objective way. The use of certain methodologies and analytical techniques for problem solving allows to analyze larger number of possible solutions, create more creative solutions, saving time and resources.
Problem solving is an iterative process, assuming a solid base of trans-disciplinary scientific principles complemented by empirical data, creativity, good sense, familiarity with problems that arise in practice, knowledge of the laws, rules and regulations. In the modern world, a process of decision making should take into account, in varying proportions, the combination of traditional parameters with some other concerns as well as security, economic, environmental factors, social impact and other related ideas.
It is absurd to require a “correct solution” to any problem. In fact, a “good” solution today may well turn out to be “bad” solution tomorrow, either because of the development of knowledge in a given period of time, either due to other structural or social change.
The concept of "Ideality” is one of the fundamental principles of the Theory of Creative Problem Solving, better known by its acronym TRIZ. The ideality is the goal that drives organizations improve all organizational systems, making them faster, better and at lower cost. Any system comes close to more and more from ideality when the number of beneficial functions increases and/or when the number of harmful functions decreases.
Some techniques and analytical tools of TRIZ methodology can contribute to accelerate and improve the process of problem solving and to increase an ideality of complex systems in almost all human activities.