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  2. Statistical process control - Wikipedia

    en.wikipedia.org/wiki/Statistical_process_control

    Statistical process control ( SPC) or statistical quality control ( SQC) is the application of statistical methods to monitor and control the quality of a production process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste scrap. SPC can be applied to any process where ...

  3. Process analysis - Wikipedia

    en.wikipedia.org/wiki/Process_analysis

    Process analysis is a form of technical writing and expository writing "designed to convey to the reader how a change takes place through a series of stages". [1]While the traditional process analysis and a set of instructions are both organized chronologically, the reader of a process analysis is typically interested in understanding the chronological components of a system that operates ...

  4. Process analytical technology - Wikipedia

    en.wikipedia.org/wiki/Process_analytical_technology

    Process analytical technology. Process analytical technology ( PAT) has been defined by the United States Food and Drug Administration (FDA) as a mechanism to design, analyze, and control pharmaceutical manufacturing processes through the measurement of critical process parameters (CPP) which affect the critical quality attributes (CQA).

  5. Failure mode and effects analysis - Wikipedia

    en.wikipedia.org/wiki/Failure_mode_and_effects...

    graph with an example of steps in a failure mode and effects analysis. Failure mode and effects analysis (FMEA; often written with "failure modes" in plural) is the process of reviewing as many components, assemblies, and subsystems as possible to identify potential failure modes in a system and their causes and effects. For each component, the ...

  6. Analytic hierarchy process – car example - Wikipedia

    en.wikipedia.org/wiki/Analytic_hierarchy_process...

    AHP stands for analytic hierarchy process – a multi-criteria decision-making (MCDM) method. In AHP, values like price, weight, or area, or even subjective opinions such as feelings, preferences, or satisfaction, can be translated into measurable numeric relations. The core of AHP is the comparison of pairs instead of sorting (ranking), voting ...

  7. Process mining - Wikipedia

    en.wikipedia.org/wiki/Process_mining

    Process mining is a family of techniques used to analyze event data in order to understand and improve operational processes. Part of the fields of data science and process management, process mining is generally built on logs that contain case id, a unique identifier for a particular process instance; an activity, a description of the event that is occurring; a timestamp; and sometimes other ...

  8. Analytic hierarchy process - Wikipedia

    en.wikipedia.org/wiki/Analytic_hierarchy_process

    Analytic hierarchy process. A simple AHP hierarchy, with final priorities. The goal is to select the most suitable leader from a field of three candidates. The factors to be considered are experience, education, charisma, and age. According to the judgments of the decision makers, Dick is the strongest candidate, followed by Tom, then Harry.

  9. DMAIC - Wikipedia

    en.wikipedia.org/wiki/DMAIC

    DMAIC. DMAIC or define, measure, analyze, improve and control[ 1] (pronounced dÉ™-MAY-ick) refers to a data-driven improvement cycle used for optimizing and stabilizing business processes and designs. The DMAIC improvement cycle is the core tool used to drive Six Sigma projects. However, DMAIC is not exclusive to Six Sigma and can be used as ...