Using Control Charts to Determine if a Process is in 2025

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A control chart is a statistical tool used to distinguish between variation in a process resulting from common causes and variation resulting from special causes. It presents a graphic display of process stability or instability over time (Viewgraph 1).
A process is in control (stable) when the average and standard deviations are known and predictable.
That is it has variation only from sources common to the process (called common-cause variation). An out-of-control process has points falling outside the control limits or non-random patterns of points (called special-cause variation). If the process is in-control, no corrections or changes to the process are needed.
The control chart is a graph used to study how a process changes over time. Data are plotted in time order. A control chart always has a central line for the average, an upper line for the upper control limit, and a lower line for the lower control limit. These lines are determined from historical data.
Points that fall randomly within the control limits indicate that your process is in control and exhibits only common-cause variation. Points that fall outside the control limits or display a nonrandom pattern, indicate that your process is out of control and that special-cause variation is present.
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Characteristics of Control Process in Management Continuous Process: It is a continuing process of organization and changes with the level of the firm and fluctuations. Pervasive Function: It is an activity that is universal in nature and takes place at all levels of management and with all departments.

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