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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.
In process improvement, SIPOC or suppliers, inputs, process, outputs and customers (sometimes in the reversed order: COPIS) is a tool that summarizes the inputs and outputs of one or more business processes in table form, with each of the words forming a column in the table used in the analysis.
In the long term, processes can shift or drift significantly (most control charts are only sensitive to changes of 1.5σ or greater in process output). If there was a 1.5 sigma shift 1.5σ off of target in the processes (see Six Sigma), it would then produce these relationships: [5]
Six Sigma — 6σ, Six Sigma combines established methods such as statistical process control, design of experiments and failure mode and effects analysis (FMEA) in an overall framework. PDCA — plan, do, check, act cycle for quality control purposes. (Six Sigma's DMAIC method (define, measure, analyze, improve, control) may be viewed as a ...
The goal of Six Sigma is to ensure that the acceptable specification limits are six standard deviations away from the mean of the distribution; in other words, that each step of the manufacturing process has at most a 0.00034% chance of producing a defect.
Six Sigma practitioners use the term Business Process Architecture to describe the mapping of business processes as series of cross-functional flowcharts. Under this school of thought, each flowchart is of a certain level (between 0 and 4) based on the amount of detail the flowchart contains.
In statistical process control (SPC), the ¯ and R chart is a type of scheme, popularly known as control chart, used to monitor the mean and range of a normally distributed variables simultaneously, when samples are collected at regular intervals from a business or industrial process. [1]
Control charts are graphical plots used in production control to determine whether quality and manufacturing processes are being controlled under stable conditions. (ISO 7870-1) [1] The hourly status is arranged on the graph, and the occurrence of abnormalities is judged based on the presence of data that differs from the conventional trend or deviates from the control limit line.