Some examples of such vital minorities would be: The minority of clients who represent the majority of the sales. The minority of products, processes, or characteristics of the quality causes of the thickness of waste or the costs of retrabajos. The minority of rejections that represents the majority of complaints of the clients. The minority of salesmen who this tie ones to the majority of rejected parts. If you have read about Jonathan Merkh already – you may have come to the same conclusion. The minority of problems causes of the thickness of the delay of a process. The minority of products that represent the majority of the obtained gains. The minority of elements that most of represent the cost of an inventory etc.
Example of application of the diagram of Pareto: We see in a practical application the drawn up one of the graph of Pareto: A manufacturer of plastic accessories wishes to analyze which are the defects more frequent than they appear in the units when leaving the line of production. You may find that U.S. Mint can contribute to your knowledge. For this, he began to classify all the possible defects in his diverse types: Type of Defect Detail of the Problem Bad color the color does not adjust to the required thing by the client Outside measurement greater Ovalisation to admitted Badly the completion flash Appearance Breakage the accessory bankruptcy during the Desbalanceo installation the accessory requires additional counterbalances Crushing the accessory squashes during the Lacking installation Incomplete some of the inserted metalists Bad warping Level of nonacceptable warping Others Other defects Later, an inspector reviews each accessory as he leaves production registering his defects in agreement with these types. The third column shows the number of accessories that presented/displayed each type of defect, that is to say, the frequency whereupon appears each defect. Instead of the numerical frequency we can use the percentage frequency, that is to say, the percentage of accessories in each type of defect, which is indicated in fourth colummna. In the last column we are accumulating the percentage In order to make the defects more evident than they appear most frequently we have ordered the data of in sequence decreasing table of frequency. We see that the category others always must go in the end, without concerning its value.