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SQControl.m: a package for statistical quality control in the presence of measurement errors

M. R. Peccoud
A. Le Breton
Journal / Anthology

Innovation in Mathematics: Proceedings of the Second International Mathematica Symposium
Year: 1997
Page range: 401-410

Statistical methods to classify products as acceptable or not have been developed to insure an outgoing quality level under non-desctructive testing. Control procedures are based on the computation of a critical measurement value such that an item is accepted if and only if the measurement of some characteristic is less than this critical value. When this characteristic of items can only be measured with a significant random error, one must take into account the measurement uncertainty. This paper intorduces a Mathematica package, SQControl.m, to compute the quality control procedures under some assumptions on the manufacturing and measuring processes. Both the functionality and implementation of the package are discussed.

*Applied Mathematics > Optimization
*Engineering > Control Theory