Yes / In the simulation of a chain of manufacturing processes, several finite element packages can be employed and for each process or package a different mesh density or element type may be the most suitable. Therefore, there is a need for transferring finite element analysis (FEA) data among packages and mapping it between meshes. This paper presents efficient algorithms for mapping FEA data between meshes with different densities and element types. An in-core spatial index is created on the mesh from which FEA data is transferred. The index is represented by a dynamic grid partitioning the underlying space from which nodes and elements are drawn into equal-sized cells. Buckets containing references to the nodes indexed are associated with the cells in a many-to-one correspondence. Such an index makes nearest neighbour searches of nodes and elements much faster than sequential scans. An experimental evaluation of the mapping techniques using the index is conducted. The algorithms have been implemented in the open source finite element data exchange system FEDES.

The simulation of a manufacturing process chain with the finite element method requires the selection of an appropriate finite element solver, element type and mesh density for each process of the chain. When the simulation results of one step are needed in a subsequent one, they have to be interpolated and transferred to another model. This paper presents an in-core grid index that can be created on a mesh represented by a list of nodes/elements. Finite element data can thus be transferred across different models in a process chain by mapping nodes or elements in indexed meshes. For each nodal or integration point of the target mesh, the index on the source mesh is searched for a specific node or element satisfying certain conditions, based on the mapping method. The underlying space of an indexed mesh is decomposed into a grid of variable-sized cells. The index allows local searches to be performed in a small subset of the cells, instead of linear searches in the entire mesh which are computationally expensive. This work focuses on the implementation and computational efficiency of indexing, searching and mapping. An experimental evaluation on medium-sized meshes suggests that the combination of index creation and mapping using the index is much faster than mapping through sequential searches.

O dinamismo inerente a moda expõe as cadeias de suprimentos a um desafio constante: gerenciar a relação com múltiplos agentes envolvidos em um longo lead time produtivo, enquanto atendem aos anseios por novidades frequentes no ponto de venda. A Cadeia Produtiva Têxtil e de Confecção (CPTC) se antecipa, em até dois anos, nas apostas de tendências e direciona às suas confecções um fluxo empurrado de produtos originais em formas, matérias, cores e estampas. Contudo, é no varejo que o êxito, ou insucesso, de uma coleção fica nítido e tem seus maiores impactos de incerteza. Em sentido contrário, o fast fashion ganha notoriedade por resolver esta problemática, encurtando ciclos produtivos e postergando acabamentos de produção, em uma cadeia de suprimentos que atende às solicitações do varejo, com trocas constantes de informação. Este modelo de negócios se torna, na revisão bibliográfica, um bom exemplo de aplicação das práticas de Gestão da Cadeia de Suprimentos (GCS) na moda, com exemplos recorrentes de marcas do Reino Unido, Suécia, Estados Unidos, Itália e Espanha. Surge, então, o interesse em verificar como interagem os agentes das CPTC do Brasil, comparando coleções programadas e de moda rápida, e se conseguem aplicar as diretrizes da GCS. Um estudo de casos múltiplos em 4 empresas, sendo 2 em modelo tradicional e 2 fast fashion, leva a resultados que confirmam a literatura nas práticas varejistas, enquanto diferem, especialmente nos métodos produtivos, levando a indagações sobre a adaptação dos parâmetros internacionais ao cenário local / The inherent dynamism of fashion exposes supply chains to a constant challenge: managing the relationship with multiple agents involved in a long productive lead time, while meeting the yearnings for frequent novelties at the point of sale. The Textile and Apparel Production Chain (TAPC) anticipates trends, within two years, and directs to their factories a flow of original products into shapes, materials, colors and prints. However, it is in retail that the success, or failure, of a fashion collection becomes clear and has its greatest impacts of uncertainty. On the other hand, fast fashion is notorious for solving this problem, shortening production cycles and postponing production finishes, in a supply chain that responds to retail requests, with constant information exchanges. This business model becomes, in the bibliographic review, a good example of applying the practices of Supply Chain Management (SCM) in fashion, with recurring examples of brands from the United Kingdom, Sweden, the United States, Italy and Spain. Arises interest in checking how the TAPC agents of Brazil interact, comparing traditional and fast-fashion collections, and whether they are able to apply the guidelines of the SCM. A multiple case study in 4 companies, 2 in a traditional model and 2 fast fashion, leads to results that confirm the literature in retail practices, while differing, especially in productive methods, leading to inquiries about the adaptation of international parameters to the local scenario

O dinamismo inerente a moda expõe as cadeias de suprimentos a um desafio constante: gerenciar a relação com múltiplos agentes envolvidos em um longo lead time produtivo, enquanto atendem aos anseios por novidades frequentes no ponto de venda. A Cadeia Produtiva Têxtil e de Confecção (CPTC) se antecipa, em até dois anos, nas apostas de tendências e direciona às suas confecções um fluxo empurrado de produtos originais em formas, matérias, cores e estampas. Contudo, é no varejo que o êxito, ou insucesso, de uma coleção fica nítido e tem seus maiores impactos de incerteza. Em sentido contrário, o fast fashion ganha notoriedade por resolver esta problemática, encurtando ciclos produtivos e postergando acabamentos de produção, em uma cadeia de suprimentos que atende às solicitações do varejo, com trocas constantes de informação. Este modelo de negócios se torna, na revisão bibliográfica, um bom exemplo de aplicação das práticas de Gestão da Cadeia de Suprimentos (GCS) na moda, com exemplos recorrentes de marcas do Reino Unido, Suécia, Estados Unidos, Itália e Espanha. Surge, então, o interesse em verificar como interagem os agentes das CPTC do Brasil, comparando coleções programadas e de moda rápida, e se conseguem aplicar as diretrizes da GCS. Um estudo de casos múltiplos em 4 empresas, sendo 2 em modelo tradicional e 2 fast fashion, leva a resultados que confirmam a literatura nas práticas varejistas, enquanto diferem, especialmente nos métodos produtivos, levando a indagações sobre a adaptação dos parâmetros internacionais ao cenário local / The inherent dynamism of fashion exposes supply chains to a constant challenge: managing the relationship with multiple agents involved in a long productive lead time, while meeting the yearnings for frequent novelties at the point of sale. The Textile and Apparel Production Chain (TAPC) anticipates trends, within two years, and directs to their factories a flow of original products into shapes, materials, colors and prints. However, it is in retail that the success, or failure, of a fashion collection becomes clear and has its greatest impacts of uncertainty. On the other hand, fast fashion is notorious for solving this problem, shortening production cycles and postponing production finishes, in a supply chain that responds to retail requests, with constant information exchanges. This business model becomes, in the bibliographic review, a good example of applying the practices of Supply Chain Management (SCM) in fashion, with recurring examples of brands from the United Kingdom, Sweden, the United States, Italy and Spain. Arises interest in checking how the TAPC agents of Brazil interact, comparing traditional and fast-fashion collections, and whether they are able to apply the guidelines of the SCM. A multiple case study in 4 companies, 2 in a traditional model and 2 fast fashion, leads to results that confirm the literature in retail practices, while differing, especially in productive methods, leading to inquiries about the adaptation of international parameters to the local scenario