Sentence examples for use of statistical control from inspiring English sources

At high maturity levels, measurement analysis procedures should indicate the use of statistical control methods.

One way to do this is the use of statistical control charts in which the project performance indicators are plotted over time.

Analytical methods that use principles of statistical control to represent and analyze values and are said to be Statistical Control Methods [22].

For more detail on the use of modern statistical control charts, please refer to Montgomery (2013) and Okland (2007) which provide a comprehensive view of statistical control charts, from basic principles to state-of-the-art concepts and applications.

Others, like Six Sigma, include the use of statistical process control techniques and design of experiment (DOE).

This paper investigates the use of statistical process control techniques for improving the consistency of autoclave moulded composite components.

In the recent years, there has been an increasing interest in the use of statistical process/quality control techniques for monitoring project's performance indicators which have led to a relatively large volume of published papers in this context.

35 The term is often appropriated to refer to the methods associated with Edwards Deming, 36 including techniques, such as Plan-Do-Study-Act (PDSA) cycles and use of statistical process control (SPC) methods, 37 38 but that is not its only meaning.

An "out-of-control" state could be suggested by use of statistical process-control methods by identification of excess numbers of infrequent events [ 18].

By the 1980s Japan's carmakers were seen as the models for others to emulate, especially for their "just-in-time" method of delivering components to the assembly plants (see Consolidation, below) and the use of statistical process controls for enhancing vehicle quality, which ironically had been developed in the 1950s by an American but rejected at the time by American manufacturers.

An alternative strategy to identify causal effects involves the use of statistical models that control for selection into financial-incentive programs on unobserved individual characteristics.