
ISO 11462:2020
ISO 11462:2020 Guidelines for implementation of statistical process control (SPC) – Part 3: Reference data sets for SPC software validation
CDN $390.00
Description
This document describes examples for software validation for SPC software implementing the standards of the ISO 7870 series on control charts and the ISO 22514 series on capability and performance. In detail ISO 7870‚Äë2, ISO 22514‚Äë2 and ISO 22514‚Äë8 are covered.
It provides data sets and test results for testing the implementation of the evaluation methods described in these standards. This includes the detection of out of control situations as well as the calculation of sample statistics and process capability indices.
The test examples cover the following situations:
a) General:
- – different sample and subgroup sizes, accuracy of calculation for large/small numbers;
b) ISO 22514 series:
- – calculation of sample statistics for location and dispersion;
- – different distribution models;
c) ISO 7870‚Äë2:
- – calculation of control limits;
- – visualization of data (histogram, control charts);
- – detection of out of control situations.
Edition
1
Published Date
2020-06-16
Status
PUBLISHED
Pages
129
Format 
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Abstract
This document describes examples for software validation for SPC software implementing the standards of the ISO 7870 series on control charts and the ISO 22514 series on capability and performance. In detail ISO 7870‚Äë2, ISO 22514‚Äë2 and ISO 22514‚Äë8 are covered.
It provides data sets and test results for testing the implementation of the evaluation methods described in these standards. This includes the detection of out of control situations as well as the calculation of sample statistics and process capability indices.
The test examples cover the following situations:
a) General:
- - different sample and subgroup sizes, accuracy of calculation for large/small numbers;
b) ISO 22514 series:
- - calculation of sample statistics for location and dispersion;
- - different distribution models;
c) ISO 7870‚Äë2:
- - calculation of control limits;
- - visualization of data (histogram, control charts);
- - detection of out of control situations.
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