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Signal Interpretation in Hotelling’s T2 Control Chart for Compositional Data

Nowadays, control of concentrations of elements is of crucial importance in industry. Concentrations are expressed in terms of proportions or percentages which means that they are compositional data (CoDa). CoDa are defined as vectors of positive elements that represent parts of a whole and usually add to a constant sum. Classical T2 control chart is not appropriate for CoDa, for which is better to use a compositional T2 control chart (T2C CC). This paper generalizes the interpretation of the out-of-control signals of the individual T2C CC for more than three components. We propose two methods for identifying the ratio of components that mainly contribute to the signal. The first one is suitable for low dimensional problems and consists on finding the log ratio of components that maximizes the univariate T2 statistic. The second one is an optimized method for large dimensional problems that simplifies the calculus by transforming the coordinates into the sphere. We illustrate the T2C CC signal interpretation with a practical example from the chemical and pharmaceutical industry

This work has been partially financed by the Ministerio de Ciencia e Innovaci´on (Ref: MTM2012- 33236) and the Ag`encia de Gesti´o d’Ajuts Universitaris i de Recerca (AGAUR), Generalitat de Catalunya (Ref: 2014SGR551)

© IIE Transactions. Special Issue: Quality & Reliability Engineering, 2016, vol. 48, núm. 7, p. 661-672

Taylor and Francis

Author: Vives Mestres, Marina
Daunis i Estadella, Josep
Martín Fernández, Josep Antoni
Date: 2016 January 28
Abstract: Nowadays, control of concentrations of elements is of crucial importance in industry. Concentrations are expressed in terms of proportions or percentages which means that they are compositional data (CoDa). CoDa are defined as vectors of positive elements that represent parts of a whole and usually add to a constant sum. Classical T2 control chart is not appropriate for CoDa, for which is better to use a compositional T2 control chart (T2C CC). This paper generalizes the interpretation of the out-of-control signals of the individual T2C CC for more than three components. We propose two methods for identifying the ratio of components that mainly contribute to the signal. The first one is suitable for low dimensional problems and consists on finding the log ratio of components that maximizes the univariate T2 statistic. The second one is an optimized method for large dimensional problems that simplifies the calculus by transforming the coordinates into the sphere. We illustrate the T2C CC signal interpretation with a practical example from the chemical and pharmaceutical industry
This work has been partially financed by the Ministerio de Ciencia e Innovaci´on (Ref: MTM2012- 33236) and the Ag`encia de Gesti´o d’Ajuts Universitaris i de Recerca (AGAUR), Generalitat de Catalunya (Ref: 2014SGR551)
Format: application/pdf
ISSN: 0740-817X (versió paper)
1545-8830 (versió electrònica)
Document access: http://hdl.handle.net/10256/12462
Language: eng
Publisher: Taylor and Francis
Collection: MICINN/PN 2013-2015/MTM2012-33236
AGAUR/2014-2016/2014 SGR-551
Versió postprint del document publicat a: http://dx.doi.org/10.1080/0740817X.2015.1125042
Articles publicats (D-IMAE)
Is part of: © IIE Transactions. Special Issue: Quality & Reliability Engineering, 2016, vol. 48, núm. 7, p. 661-672
Rights: Tots els drets reservats
Subject: Anàlisi multivariable
Multivariate analysis
Title: Signal Interpretation in Hotelling’s T2 Control Chart for Compositional Data
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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