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A library of standard SPC objects containing models for the Xbar, range, exponential weighted moving average, p-chart and other SPC techniques have been created which help define the control application.
However, consensus on the threshold to be used to define either depressive or manic episodes should be achieved previous to constructing the control charts as suggested in this work, because the episode-free run-in period, from which the control chart defining parameters are obtained, is highly dependent on such thresholds.
The control chart includes center line, upper control limit (UCL), and lower control limit (LCL).
In the economic design of control charts a set of cost and process parameters are used to obtain the control chart parameters.
The control chart for averages (or the ¯¯¯X chart) dominates the use of any other control chart technique if quality is measured on a continuous scale.
When a process change occurs, the control chart exhibits an out-of-control signal.
VP undertook the control chart analysis.
The control chart of EHCS is shown in Fig. 10.
The control chart limits are constructed based on two variables.
The control chart is shown in Fig. 9. Open image in new window Fig. 9 Control chart of RPC.
The control chart is shown in Fig. 8. Open image in new window Fig. 8 Control chart of MSVC.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com