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The plan–do–check–act cycle. PDCA or plan–do–check–act (sometimes called plan–do–check–adjust) is an iterative design and management method used in business for the control and continual improvement of processes and products. [1] It is also known as the Shewhart cycle, or the control circle/cycle.
Creating a collection plan is part of the intelligence cycle. While an ICP has no prescribed doctrinal format, it must use all available collection capabilities to meet the decision maker's priority requirements. It must be precise and concise, yet a working document that is flexible enough to respond to changes as they occur. [2]
A decision cycle or decision loop [1] is a sequence of steps used by an entity on a repeated basis to reach and implement decisions and to learn from the results. The "decision cycle" phrase has a history of use to broadly categorize various methods of making decisions, going upstream to the need, downstream to the outcomes, and cycling around to connect the outcomes to the needs.
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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 the ...
Sense-Plan-Act was the predominant robot control methodology through 1985. Sense - gather information using the sensors; Plan - create a world model using all the information, and plan the next move; Act; SPA is used in iterations: After the acting phase, the sensing phase, and the entire cycle, is repeated.
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Deming credits a 1939 work by Shewhart for the idea and over time eventually developed the Plan-Do-Study-Act (PDSA) cycle, which has the idea of deductive and inductive learning built into the learning and improvement cycle. Deming finally published the PDSA cycle in 1993, in The New Economics on p. 132. [39]