Abstract:
Quality is considered a precondition to select products or services. Therefore, the Companies
or Industries are more invested in the quality sector of products or services to engage more
customers. For this purpose, a Control chart is a more powerful tool to monitor the statistical
process parameters. The very first person to propose a control chart was Walter A.
Shewhart who developed the technique in the 1920s. It helps to check the instability in the
process. At the point when the interaction shifts from the ideal objective, the control Chart
distinguishes the assignable causes and cautions the administrator to correct the assignable
causes to save extra cost and creation the season of the companies or Industries
(Montgomery, 2013). Further, the reason for the control chart is to keep up with the
recommended specification limits to decrease inconsistency. These activities help to make the
process stable by the reduction in variation and to get required work on quality (Aslam. et all
2015). In the second situation control charts help in decision making or assessment of
thoughts by watching the pattern of plotted points in the control chart, decision-makers
decide whether the idea is a good one or has no effect on the process. An ordinary control
chart has three lines to depict the whole process variation. The first is a middle line known as
the control line (CL) for representing the process average value, Upper and Lower Control
Limits are to represent the upper bound and lower bound of a process respectively. For a
process to be under control plotted sampling points should be plotted within the control
limits, as well as the plotted points should display a known pattern of variation.
