Product Performance Analysis with Principal Component Mapping

S Rezvani, G Prasad, S Robinson, J Muir, K McCracken

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As part of a research programme between the University of Ulster and the industry, the interrelationships and performance attributes of polymeric components used in adhesives manufactured for medical packaging is being studied. A profound understanding about the interactions between raw materials, process parameters and responses is necessary to formulate product formulations with adaptive performance attributes and optimised costs. To facilitate such a system, we have introduced the new multivariate data visualisation method. called Principal Component Mapping (peM). The underlying idea is the interactive selection of colours and shades to specify areas corresponding to different attributes and characteristics within a series of Principal Component plots. Superimpositions of plots allow identifying interactions between different parameters. The intersections of desir1Ible attributes within the plot indicate cases with the best characteristics.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages22-27
Number of pages6
Publication statusPublished - Jul 2003
EventSignals and Systems Conference (ISSC 2003), Limerick -
Duration: 1 Jul 2003 → …

Conference

ConferenceSignals and Systems Conference (ISSC 2003), Limerick
Period1/07/03 → …

Fingerprint

research programs
adhesives
packaging
raw materials
shade
industry
color
methodology

Cite this

Rezvani, S., Prasad, G., Robinson, S., Muir, J., & McCracken, K. (2003). Product Performance Analysis with Principal Component Mapping. In Unknown Host Publication (pp. 22-27)
Rezvani, S ; Prasad, G ; Robinson, S ; Muir, J ; McCracken, K. / Product Performance Analysis with Principal Component Mapping. Unknown Host Publication. 2003. pp. 22-27
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Rezvani, S, Prasad, G, Robinson, S, Muir, J & McCracken, K 2003, Product Performance Analysis with Principal Component Mapping. in Unknown Host Publication. pp. 22-27, Signals and Systems Conference (ISSC 2003), Limerick, 1/07/03.

Product Performance Analysis with Principal Component Mapping. / Rezvani, S; Prasad, G; Robinson, S; Muir, J; McCracken, K.

Unknown Host Publication. 2003. p. 22-27.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Product Performance Analysis with Principal Component Mapping

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AU - Prasad, G

AU - Robinson, S

AU - Muir, J

AU - McCracken, K

PY - 2003/7

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N2 - As part of a research programme between the University of Ulster and the industry, the interrelationships and performance attributes of polymeric components used in adhesives manufactured for medical packaging is being studied. A profound understanding about the interactions between raw materials, process parameters and responses is necessary to formulate product formulations with adaptive performance attributes and optimised costs. To facilitate such a system, we have introduced the new multivariate data visualisation method. called Principal Component Mapping (peM). The underlying idea is the interactive selection of colours and shades to specify areas corresponding to different attributes and characteristics within a series of Principal Component plots. Superimpositions of plots allow identifying interactions between different parameters. The intersections of desir1Ible attributes within the plot indicate cases with the best characteristics.

AB - As part of a research programme between the University of Ulster and the industry, the interrelationships and performance attributes of polymeric components used in adhesives manufactured for medical packaging is being studied. A profound understanding about the interactions between raw materials, process parameters and responses is necessary to formulate product formulations with adaptive performance attributes and optimised costs. To facilitate such a system, we have introduced the new multivariate data visualisation method. called Principal Component Mapping (peM). The underlying idea is the interactive selection of colours and shades to specify areas corresponding to different attributes and characteristics within a series of Principal Component plots. Superimpositions of plots allow identifying interactions between different parameters. The intersections of desir1Ible attributes within the plot indicate cases with the best characteristics.

M3 - Conference contribution

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BT - Unknown Host Publication

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Rezvani S, Prasad G, Robinson S, Muir J, McCracken K. Product Performance Analysis with Principal Component Mapping. In Unknown Host Publication. 2003. p. 22-27