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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. Accident analysis - Wikipedia

    en.wikipedia.org/wiki/Accident_Analysis

    Ishikawa Diagram: Takes into account environmental, human, methodical, and equipment causes that can lead to a problem. Using this model, an accident analyst could work backwards from the problem to find and mitigate potential causes. Fault Tree Analysis: Uses a tree type "yes/no" cause and effect analysis to determine potential causes of ...

  4. Tripod Beta - Wikipedia

    en.wikipedia.org/wiki/Tripod_Beta

    Tripod Beta is an incident and accident analysis methodology made available by the Stichting Tripod Foundation [1] via the Energy Institute.The methodology is designed to help an accident investigator analyse the causes of an incident or accident in conjunction with conducting the investigation.

  5. Eight disciplines problem solving - Wikipedia

    en.wikipedia.org/wiki/Eight_Disciplines_Problem...

    Eight Disciplines Methodology (8D) is a method or model developed at Ford Motor Company used to approach and to resolve problems, typically employed by quality engineers or other professionals. Focused on product and process improvement, its purpose is to identify, correct, and eliminate recurring problems. [ 1 ]

  6. Causal analysis - Wikipedia

    en.wikipedia.org/wiki/Causal_analysis

    Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. [1] Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the ...

  7. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    One of the most important requirements of experimental research designs is the necessity of eliminating the effects of spurious, intervening, and antecedent variables. In the most basic model, cause (X) leads to effect (Y). But there could be a third variable (Z) that influences (Y), and X might not be the true cause at all.

  8. Failure analysis - Wikipedia

    en.wikipedia.org/wiki/Failure_analysis

    Failure analysis is the process of collecting and analyzing data to determine the cause of a failure, often with the goal of determining corrective actions or liability. According to Bloch and Geitner, ”machinery failures reveal a reaction chain of cause and effect… usually a deficiency commonly referred to as the symptom…”. [1]

  9. Rubin causal model - Wikipedia

    en.wikipedia.org/wiki/Rubin_causal_model

    Rubin defines a causal effect: Intuitively, the causal effect of one treatment, E, over another, C, for a particular unit and an interval of time from to is the difference between what would have happened at time if the unit had been exposed to E initiated at and what would have happened at if the unit had been exposed to C initiated at : 'If an hour ago I had taken two aspirins instead of ...