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implementation of quality tools in small medium industry - Universiti ...

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7250Pareto chart <strong>of</strong> Compla<strong>in</strong>tsCounts200150100100806040Percent50200Conpla<strong>in</strong>ts room appliances cleanl<strong>in</strong>ess comfort OtherCounts 100 50 50 15 7Percent 45.0 22.5 22.5 6.8 3.2Cum % 45.0 67.6 90.1 96.8 100.00Figure 2.2.Typically the left y-axis is frequency <strong>of</strong> occurrence, and the right y-axis isthe cumulative percentage <strong>of</strong> the total number <strong>of</strong> occurrences.The x-axis displays the categories <strong>of</strong> defects, compla<strong>in</strong>ts, waste, etc.2.2.2.1 Weighted Pareto ChartA weighted Pareto chart not only considers the frequency <strong>of</strong> occurrence, butthe importance as well. A weighted Pareto chart can account for the severity <strong>of</strong> thedefects, or the cost, or anyth<strong>in</strong>g else you would like to track. For example, supposeyou have 5 coat<strong>in</strong>g defects that you are track<strong>in</strong>g: wr<strong>in</strong>kles, sta<strong>in</strong>s, scratches, dirtspecs, and bubbles.Collect data on the frequency <strong>of</strong> defect occurrence and the cost to rework. Aweighted Pareto chart may change your priority for improvement projects byconsider<strong>in</strong>g data based on both cost and frequency data. For example, even thoughwr<strong>in</strong>kles may be more frequent they are less expensive to fix than dirt specs, whichare a rarer occurrence. Consider<strong>in</strong>g both cost and frequency will give you a betterunderstand<strong>in</strong>g <strong>of</strong> your cost <strong>of</strong> poor <strong>quality</strong> (COPQ).

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