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  2. Ishikawa diagram - Wikipedia

    en.wikipedia.org/wiki/Ishikawa_diagram

    Sample Ishikawa diagram shows the causes contributing to problem. The defect, or the problem to be solved, [1] is shown as the fish's head, facing to the right, with the causes extending to the left as fishbones; the ribs branch off the backbone for major causes, with sub-branches for root-causes, to as many levels as required.

  3. Systematic inventive thinking - Wikipedia

    en.wikipedia.org/wiki/Systematic_inventive_thinking

    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. At the heart of SIT's method is one core idea adopted ...

  4. Problem solving - Wikipedia

    en.wikipedia.org/wiki/Problem_solving

    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. The former is an example of simple problem solving (SPS) addressing one issue ...

  5. Monte Carlo method - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_method

    The approximation of a normal distribution with a Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle.

  6. Trial and error - Wikipedia

    en.wikipedia.org/wiki/Trial_and_error

    In elementary algebra, when solving equations, it is guess and check. This approach can be seen as one of the two basic approaches to problem-solving, contrasted with an approach using insight and theory. However, there are intermediate methods which for example, use theory to guide the method, an approach known as guided empiricism.

  7. Computational thinking - Wikipedia

    en.wikipedia.org/wiki/Computational_thinking

    Computational thinking (CT) refers to the thought processes involved in formulating problems so their solutions can be represented as computational steps and algorithms. [1] In education, CT is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer could also execute. [2]

  8. Nominal group technique - Wikipedia

    en.wikipedia.org/wiki/Nominal_group_technique

    The nominal group technique (NGT) is a group process involving problem identification, solution generation, and decision-making. [1] It can be used in groups of many sizes, who want to make their decision quickly, as by a vote, but want everyone's opinions taken into account (as opposed to traditional voting, where only the largest group is considered). [2]

  9. GROW model - Wikipedia

    en.wikipedia.org/wiki/GROW_model

    GROW model. The GROW model (or process) is a simple method for goal setting and problem solving. It was developed in the United Kingdom and has been used extensively in corporate coaching from the late 1980s and 1990s.