Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/15616

TítuloGeneric referencing: Methodology of parts characterization
Autor(es)Gomes, João Paulo Oliveira
Martins, Paulo Jorge de Figueiredo
Lima, Rui M.
Palavras-chaveMethodology of parts characterization
Generic referencing
Bill of materials (BOM)
Product data management
Production planning and control
DataOut-2011
EditoraAssociação Brasileira de Engenharia de Produção (ABEPRO)
Resumo(s)Production planning and control (PPC) processes are based on information about part information, bill-of-materials (BOM), routings and production resources information. Managing these different types of information efficiently is fundamentaal for PPC success. Consumers require increased diversity of offer and this adds additional stress to information management in PPC systems. Standard representation models don’t offer enough flexibility and ease of use to cope with high product diversity. Models of representation of product information based on generic referencing aims to cope with these new requirements in a more efficient way. With these models a generic reference identifies a family of parts characterized by a set of common properties. Identifying adequate properties that characterize a family require the ability to evaluate different possible alternatives and select the best suited for each case. To deal with this challenge a methodology for parts characterization using generic referencing models is proposed. This methodology uses grammatical classification integrated with knowledge of the production system. An industrial case study of baby clothes is used as an example of application of the methodology.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/15616
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CGIT - Livros e capítulos de livros / Books and book chapters
CITEPE - Livros e Capítulos de Livros / Books and Book Chapters

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2011 _conference ICIEOM2011 TI_ST_135_856_18611.pdf
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artigo conferência359,93 kBAdobe PDFVer/Abrir

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