Statistical Thinking
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Statistical Thinking
Statistical thinking is one of the tools for process analysis. Statistical thinking relates processes and statistics, and is based on the following principles: * All work occurs in a system of interconnected processes. * Variation exists in all processes * Understanding and reducing variation are keys to success. W. Edwards Deming William Edwards Deming (October 14, 1900 – December 20, 1993) was an American engineer, statistician, professor, author, lecturer, and management consultant. Educated initially as an electrical engineer and later specializing in mathematical ... promoted the concepts of statistical thinking, using two powerful experiments: 1. The Red Bead experiment, in which workers are tasked with running a more or less random procedure, yet the lowest "performing" workers are fired. The experiment demonstrates how the natural variability in a process can dwarf the contribution of individual workers' talent. 2. The Funnel experiment, again demonstrating that ...
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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". 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 largely without the reader's direct actions (such as how the body digests an apple), while the reader of a set of instructions intends to use the instructions in order to accomplish a specific, limited task (such as how to bake an apple pie). By contrast, the reader of a mechanism description is more interested in an object in space (such as the form and nutritional value of a particular kind of apple). References {{Reflist See also * Process mining Process mining is a family of techniques relating the fields of data science and process management to support the analysis of operational proces ...
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Statistics
Statistics (from German language, German: ''wikt:Statistik#German, Statistik'', "description of a State (polity), state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of statistical survey, surveys and experimental design, experiments.Dodge, Y. (2006) ''The Oxford Dictionary of Statistical Terms'', Oxford University Press. When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey sample (statistics), samples. Representative sampling as ...
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Systems Thinking
Systems thinking is a way of making sense of the complexity of the world by looking at it in terms of wholes and relationships rather than by splitting it down into its parts. It has been used as a way of exploring and developing effective action in complex contexts, enablinsystems change Systems thinking draws on and contributes to systems theory and the system sciences. History Frameworks and methodologies Frameworks and methodologies for systems thinking include: * Critical systems thinking * Soft systems methodology * Systemic design * System dynamics * Viable system model Multi-method approach See also * Management cybernetics * Operational research Operations research ( en-GB, operational research) (U.S. Air Force Specialty Code: Operations Analysis), often shortened to the initialism OR, is a discipline that deals with the development and application of analytical methods to improve deci ... References Systems science Cybernetics Systems theory Systems th ...
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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 (rework or scrap). SPC can be applied to any process where the "conforming product" (product meeting specifications) output can be measured. Key tools used in SPC include run charts, control charts, a focus on continuous improvement, and the design of experiments. An example of a process where SPC is applied is manufacturing lines. SPC must be practiced in two phases: The first phase is the initial establishment of the process, and the second phase is the regular production use of the process. In the second phase, a decision of the period to be examined must be made, depending upon the change in 5M&E conditions (Man, Machine, Material, Method, Movement, Environment) and wear rate of par ...
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