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Failure Mode–Effect Analysis  395

           TABLE 11.2 Automotive Industry Action Group (AIAG) Occurrence Rating

               Probability of failure           Occurrence             Rating
           Very high—persistent failures   100 per 1000 vehicles/items ( 10%)  10
                                    50 per 1000 vehciles/items (5%)      9
           High—frequent failures   20 per 1000 vehicles/items (2%)      8
                                    10 per 1000 vehicles/items (1%)      7
           Moderate—occasional failures  5 per 1000 vehicles/items (0.5%)  6
                                    2 per 1000 vehicles/items (0.2%)     5
                                    1 per 1000 vehicles/items (0.1%)     4
           Low—relatively few failures  0.5 per 1000 vehicles/items (0.05%)  3
                                    0.1 per 1000 vehicles/items (0.01%)  2
           Remote—failure is unlikely   0.010 per 1000 vehicles/items ( 0.001%)  1


           incremental DFSS project, the team should review relevant (similar
           failure modes and detection methods experienced on surrogate
           designs) historical information from the corporate memory such as lab
           tests, prototype tests, modeling studies, and fleet tests. In the case of
           creative design, the DFSS team needs to brainstorm new techniques
           for failure detection by asking: “In what means can they recognize the
           failure mode? In addition, how they can discover its occurrence?”
             Design controls span a spectrum of different actions that include
           physical and process structure changes (without creating vulnerabili-
           ties), special controls, design guidelines, DOEs (design of experiments),
           design verification plans, durability, drawings, and modifications of
           standards, procedures, and best-practice guidelines.
             8. Detection. Detection is a subjective rating corresponding to the
           likelihood that the detection method will detect the first-level failure
           of a potential failure mode. This rating is based on the effectiveness of
           the control system through related events in the design algorithm;
           hence, FMEA is a living document. The DFSS team should
           ■ Assess the capability of each detection method and how early in the
             DFSS endeavor each method will be used.
           ■ Review all detection methods in column 8 of Fig. 11.2 and condense
             the data on a detection rating.
           ■ Rate the methods, selecting the lowest detection rating in case the
             methods tie.

             See Table 11.3 for examples.
             9. Risk priority number (RPN). This is the product of severity (col-
           umn 4), occurrence (column 6) and detection (column 8) ratings. The
           range is between 1 and 1000. In addition to the product function, a
           weighted average of severity, detection, and occurrence is another method
           entertained, although on a small scale, to calculate RPN numbers.
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