100-Metodos-de-Qualidade-Total
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92 <strong>100</strong> METHODS FOR TOTAL QUALITY MANAGEMENT<br />
Scale Interpretation<br />
1 Minor<br />
2 Low<br />
3 Low<br />
4 Mo<strong>de</strong>rate<br />
5 Mo<strong>de</strong>rate<br />
6 Mo<strong>de</strong>rate<br />
7 High<br />
8 High<br />
9 Very high<br />
10 Catastrophic<br />
4 Estimate how likely it is that each potential failure will happen. A scale<br />
of 1-10 is used as before:<br />
Scale Interpretation Likelihood<br />
1 Remote Effectively 0<br />
2 Very low 1 in 20,000<br />
3 Low 1 in 10,000<br />
4 Mo<strong>de</strong>rate 1 in 2,000<br />
5 Mo<strong>de</strong>rate 1 in 1,000<br />
6 Mo<strong>de</strong>rate 1 in 200<br />
7 High 1 in <strong>100</strong><br />
8 High 1 in 20<br />
9 Very high 1 in 10<br />
10 Very high 1 in 2<br />
5 Multiply the outputs from stages "2, 3 and 4 together to generate a risk<br />
priority number (RPN). The RPN will lie between 1 and 10,000. If each<br />
stage gave a result of 5 the RPN would be 125.<br />
6 Rank the potential by the RPN. Two rules are then used. First, no<br />
potential failure can have an RPN of greater than 700; secondly, no<br />
individual output from stages 2, 3 or 4 can exceed 7. These rules show<br />
which potential failures must be investigated.<br />
Benefits<br />
Failure mo<strong>de</strong> and effect analysis gives a structured way of assessing<br />
possible failures and which areas to investigate first. A major advantage is<br />
that it does this at an early stage in both products and processes.<br />
Example<br />
A company making plastic mouldings was examining a new process: the<br />
hot water annealing of nylon injection-moul<strong>de</strong>d components. Two possible