Find definitions and interpretation guidance for every expected within performance measure that is provided with normal capability analysis for multiple variables.

PPM < LSL for expected within performance is the expected number of parts per million that have measurements that are less than the lower specification limit (LSL). Expected within performance values are calculated using the within-subgroup standard deviation. PPM < LSL for expected within performance is 1,000,000 times the probability that the measurement of a randomly selected part from the within-subgroup process distribution is less than LSL.
The probability that a randomly selected part is less than LSL is shown by the shaded region under the within normal curve.

Use PPM < LSL for expected within performance to estimate the number of nonconforming items, represented in parts per million, that you can expect to be below the lower specification limit based on the variation within the subgroups. Within performance values indicate the potential performance that your process could achieve if shifts and drifts were eliminated.

Lower values of PPM < LSL indicate greater process capability, relative to the lower specification limit. Ideally, few or no parts have measurements that are less than the lower specification limit.

PPM > USL for expected within performance is the expected number of parts per million that have measurements that are greater than the upper specification limit (USL). Expected within performance values are calculated using the within-subgroup standard deviation. PPM > USL for expected within performance is 1,000,000 times the probability that the measurement of a randomly selected part from the within-subgroup process distribution is greater than USL.
The probability that a randomly selected part is greater than USL is shown by the shaded region under the within normal curve.

Use PPM > USL for expected within performance to estimate the number of nonconforming items, represented in parts per million, that you can expect to be above the upper specification limit based on the variation within the subgroups. Within performance values indicate the potential performance that your process could achieve if shifts and drifts were eliminated.

Lower values of PPM > USL indicate greater process capability, relative to the upper specification limit. Ideally, few or no parts have measurements that are greater than the upper specification limit.

PPM Total for expected within performance is the expected number of parts per million that have measurements that are outside the specification limits. Expected within performance values are calculated using the within-subgroup standard deviation. PPM Total for expected within performance is 1,000,000 times the probability that the measurement of a randomly selected part from the within-subgroup process distribution is outside the specification limits.
The probability that a randomly selected part is outside the specification limits is shown by the shaded regions under the within normal curve.

Use PPM Total for expected within performance to estimate the number of nonconforming items, represented in parts per million, that you can expect to be outside the specification limits based on the variation within the subgroups. Within performance values indicate the potential performance that your process could achieve if shifts and drifts were eliminated.

Lower values of PPM Total indicate greater process capability. Ideally, few or no parts have measurements that are outside the specification limits.

You can also use PPM to estimate the percentage of conforming and nonconforming parts in your process.

PPM | % Nonconforming Parts | % Conforming |
---|---|---|

66807 | 6.807% | 93.193% |

6210 | 0.621% | 99.379% |

233 | 0.0233% | 99.9767% |

3.4 | 0.00034% | 99.99966% |

% < LSL for expected within performance is the expected percentage of parts that have measurements that are less than the lower specification limit (LSL). Expected within performance values are calculated using the within-subgroup standard deviation. % < LSL for expected within performance is the probability that the measurement of a randomly selected part from the within-subgroup process distribution is less than LSL.
The probability that a randomly selected part is less than LSL is shown by the shaded region under the within normal curve.

Use % < LSL for expected within performance to estimate the percentage of nonconforming items that you can expect to be below the lower specification limit based on the variation within the subgroups. Within performance values indicate the potential performance that your process could achieve if shifts and drifts were eliminated.

Lower values of % < LSL indicate greater process capability, relative to the lower specification limit. Ideally, few or no parts have measurements that are less than the lower specification limit.

% > USL for expected within performance is the expected percentage of parts that are greater than the upper specification limit (USL). Expected within performance values are calculated using the within-subgroup standard deviation. % > USL for expected within performance is the probability that the measurement of a randomly selected part from the within-subgroup process distribution is greater than USL.
The probability that a randomly selected part is greater than USL is shown by the shaded region under the within normal curve.

Use % > USL for expected within performance to estimate the percentage of nonconforming items that you can expect to be above the upper specification limit based on the variation within the subgroups. Within performance values indicate the potential performance that your process could achieve if shifts and drifts were eliminated.

Lower values of % > USL indicate greater process capability, relative to the upper specification limit. Ideally, few or no parts have measurements that are greater the upper specification limit.

% Total for expected within performance is the expected percentage of parts that have measurements that are outside the specification limits. Expected within performance values are calculated using the within-subgroup standard deviation. % Total for expected within performance is the probability that the measurement of a randomly selected part from the within-subgroup process distribution is outside the specification limits.
The probability that a randomly selected part is outside the specification limits is shown by the shaded regions under the within normal curve.

Use % Total for expected within performance to estimate the percentage of nonconforming items that you can expect to be outside the specification limits based on the variation within the subgroups. Within performance values indicate the potential performance that your process could achieve if shifts and drifts were eliminated.

Lower values of % Total indicate greater process capability. Ideally, few or no parts have measurements that are outside the specification limits.