Total Quality Management - CII Institute of Logistics
Total Quality Management - CII Institute of Logistics
Total Quality Management - CII Institute of Logistics
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<strong>Total</strong> <strong>Quality</strong> <strong>Management</strong><br />
SUMMARY<br />
You will have to learn how to develop these control charts and their control limits and<br />
how to interpret them, but for now you can see that they are statistical tools, which are<br />
based on a few easy-to-understand basic principles.<br />
The greatest use <strong>of</strong> control charts is to demonstrate that the process is operating in<br />
statistical control (that is, all points on the chart fall between the upper and lower control<br />
limits), but is till producing parts that are out <strong>of</strong> specification. When this happens, it is a<br />
waste <strong>of</strong> time to try to find a solution to the problem by adjusting the process. You can<br />
make this type <strong>of</strong> adjustment or take this kind <strong>of</strong> corrective action only when assignable<br />
causes are present.<br />
When a process is in statistical control, the only variation seen in the process is due to<br />
chance causes. Even those parts that fall outside the specification limits are made as a<br />
result <strong>of</strong> chance. You will not find an assignable cause for that variation. The only way to<br />
solve such a problem effectively is to make a basic change in the process. This is <strong>of</strong>ten<br />
called a management solvable problem.<br />
On the other hand, if the control chart indicates that the process is out <strong>of</strong> statistical<br />
control, it means that an assignable cause is present, and it can be found and corrected.<br />
This is <strong>of</strong>ten called a floor solvable problem, and it's the type <strong>of</strong> problem most <strong>of</strong> you<br />
face each day on the job.<br />
It is <strong>of</strong>ten said that 85% <strong>of</strong> all quality problems are management solvable and 15% are<br />
floor solvable. Statistical methods <strong>of</strong> quality control will help you detect the existence <strong>of</strong><br />
assignable or floor solvable causes, which you must identify and correct.<br />
Those who are uninformed in the use <strong>of</strong> statistical methods <strong>of</strong> quality control might say,<br />
"This is all well and good, but can I use it in my work area?". The answer can be given in<br />
one word: Yes! A control chart can be used on anything that can be assigned a number.<br />
<strong>CII</strong> <strong>Institute</strong> <strong>of</strong> <strong>Logistics</strong> 86<br />
Website: www.ciilogistics.com