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Six Sigma (6σ) is a set of techniques and tools for process improvement. It was introduced by American engineer Bill Smith while working at Motorola in 1986. [1][2] Six Sigma strategies seek to improve manufacturing quality by identifying and removing the causes of defects and minimizing variability in manufacturing and business processes.
The highest level of certification is a black belt, signifying a deep knowledge of Lean Six Sigma principles. Below the black belt are the green and yellow belts. For each of these belts, level skill sets are available that describe which of the overall Lean Six Sigma tools are expected to be part of a certain belt level. [ 6 ]
In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.
List of Six Sigma companies. The following companies claim to have successfully implemented Six Sigma in some form or another: 3M [1] Amazon [2] Atos [3] Autoliv [4] BAE Systems [5] Bank of America [6][7] Becton Dickinson [8]
Design for Six Sigma (DFSS) is a collection of best-practices for the development of new products and processes. It is sometimes deployed as an engineering design process or business process management method. DFSS originated at General Electric to build on the success they had with traditional Six Sigma; but instead of process improvement ...
DMAIC. DMAIC or define, measure, analyze, improve and control[1] (pronounced də-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 ...
Dartmouth College [10] Emory University [11] Franklin University [12] Friends University [13] George Washington University [14] Georgia Institute of Technology [15] Technische Universität Berlin [16] Technische Universität München [17] The Hong Kong University of Science and Technology.
Process capability index. The process capability index, or process capability ratio, is a statistical measure of process capability: the ability of an engineering process to produce an output within specification limits. [1] The concept of process capability only holds meaning for processes that are in a state of statistical control.
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