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Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields.
Applied Imagination: Principles and Procedures of Creative Problem Solving. New York: Charles Scribner's Sons, 1953. OCLC 641122686 [6] Revised edition, New York, Scribner, 1957 OCLC 1381383; 3rd ed. New York C. Scribner 1963 OCLC 757425639; French translation by Georges Rona and Pierre Dupont, L'Imagination constructive.
Among others, Zwicky applied morphological analysis to astronomical studies and jet and rocket propulsion systems. As a problem-structuring and problem-solving technique, morphological analysis was designed for multi-dimensional, non-quantifiable problems where causal modelling and simulation do not function well, or at all.
Operations research (OR) encompasses the development and the use of a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency, such as simulation, mathematical optimization, queueing theory and other stochastic-process models, Markov decision processes, econometric methods, data ...
Action Learning is an approach to problem solving that involves taking action and reflecting upon the results. This method is purported to help improve the problem-solving process and simplify the solutions developed as a result.
TRIZ flowchart Contradiction matrix 40 principles of invention, principles based on TRIZ. One tool which evolved as an extension of TRIZ was a contradiction matrix. [14] The ideal final result (IFR) is the ultimate solution of a problem when the desired result is achieved by itself.
Systematic inventive thinking (SIT) is a thinking method developed in Israel in the mid-1990s.Derived from Genrich Altshuller's TRIZ engineering discipline, SIT is a practical approach to creativity, innovation and problem solving, which has become a well known methodology for innovation.
Gigerenzer & Gaissmaier (2011) state that sub-sets of strategy include heuristics, regression analysis, and Bayesian inference. [14]A heuristic is a strategy that ignores part of the information, with the goal of making decisions more quickly, frugally, and/or accurately than more complex methods (Gigerenzer and Gaissmaier [2011], p. 454; see also Todd et al. [2012], p. 7).