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dc.contributor.author
Gimenez, Diego Marcelo
dc.contributor.author
Henning, Gabriela Patricia
dc.contributor.author
Leone, Horacio Pascual
dc.date.available
2017-05-30T19:26:25Z
dc.date.issued
2009-04
dc.identifier.citation
Gimenez, Diego Marcelo; Henning, Gabriela Patricia; Leone, Horacio Pascual; A Hierarchical Product-Property Model to Support Product Classification and Manage Structural and Planning Data; Springer Verlag Berlín; Lecture Notes in Business Information Processing; 24; 4-2009; 639-650
dc.identifier.issn
1865-1356
dc.identifier.uri
http://hdl.handle.net/11336/17119
dc.description.abstract
Mass customization is one of the main challenges that managers face since it results in a proliferation of product data within the various organizational areas of an enterprise and across different enterprises. Effective solutions to this problem have resorted to generic bills of materials and to the grouping of product variants into product families, thus improving data management and sharing. However, issues like product family identification and formation, as well as data aggregation have not been dealt with by this type of approach. This contribution addresses these challenges and proposes a hierarchical data model based on the concepts of variant, variant set and family. It allows managing huge amounts of structural and non-structural information in a systematic way, with minimum replication. Besides, it proposes an unambiguous criterion, based on the properties of variants, for identifying families and variant sets. Finally, the approach can explicitly handle aggregated data which is intrinsic to generic concepts like families and variant sets. A case study is analyzed to illustrate the representation capabilities of this approach
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer Verlag Berlín
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Product Data Model
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Multiple Levels of Abstraction
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Product Properties
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Product Classification
dc.subject.classification
Otras Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
A Hierarchical Product-Property Model to Support Product Classification and Manage Structural and Planning Data
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-05-22T14:03:20Z
dc.journal.volume
24
dc.journal.pagination
639-650
dc.journal.pais
Alemania
dc.journal.ciudad
Berlín
dc.description.fil
Fil: Gimenez, Diego Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico Para la Industria Química; Argentina
dc.description.fil
Fil: Henning, Gabriela Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico Para la Industria Química; Argentina
dc.description.fil
Fil: Leone, Horacio Pascual. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.journal.title
Lecture Notes in Business Information Processing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/chapter/10.1007%2F978-3-642-01347-8_53
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-3-642-01347-8_53
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