dc.creator | Gutiérrez Moya, Ester | es |
dc.creator | Colosimo, Bianca Maria | es |
dc.creator | Semeraro, Quirico | es |
dc.creator | Onieva, Luis | es |
dc.date.accessioned | 2020-01-28T13:54:34Z | |
dc.date.available | 2020-01-28T13:54:34Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Gutiérrez Moya, E., Colosimo, B.M., Semeraro, Q. y Onieva, L. (2011). Design of general-purpose sampling strategies for geometric shape measurement. International Journal of Process Systems Engineering, 1 (2), 184-196. | |
dc.identifier.issn | 1757-6342 | es |
dc.identifier.issn | 1757-6350 | es |
dc.identifier.uri | https://hdl.handle.net/11441/92414 | |
dc.description.abstract | Quality inspection is a preliminary step for different further analyses (process monitoring, control and optimisation) and requires one to select a measuring strategy, i.e., number and location of measurement points. This phase of data gathering usually impacts on inspection times and costs (via sample size) but it also affects the performance of the following tasks (process monitoring, control and optimisation). While most of the approaches for sampling design are specifically presented with reference to a target application (namely, monitoring, control or optimisation), this paper presents a general-purpose procedure, where the number and location of measurement points are selected in order to retain most of the information related to the feature under study. The procedure is based on principal component analysis and its application is shown with reference to a real case study concerning the left front window of a car. A different approach based on multidimensional scaling is further applied as validation tool, in order to show the effectiveness of the PCA solution. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Inderscience Enterprises Ltd. | es |
dc.relation.ispartof | International Journal of Process Systems Engineering, 1 (2), 184-196. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Quality inspection | es |
dc.subject | Data reduction | es |
dc.subject | Multidimensional scaling | es |
dc.subject | MDS | es |
dc.subject | Principal component analysis | es |
dc.subject | PCA | es |
dc.subject | Cluster analysis | es |
dc.subject | Sampling strategies | es |
dc.subject | Geometric shape measurement. | es |
dc.title | Design of general-purpose sampling strategies for geometric shape measurement | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II | es |
dc.relation.publisherversion | https://www.inderscience.com/offer.php?id=38945 | es |
dc.identifier.doi | 10.1504/IJPSE.2011.038945 | es |
idus.format.extent | 13 | es |
dc.journaltitle | International Journal of Process Systems Engineering | es |
dc.publication.volumen | 1 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 184 | es |
dc.publication.endPage | 196 | es |