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Heuristic methods for process optimization in the automotive industry

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Detalhes bibliográficos
Resumo:In this paper we address a real leather nesting problem (LNP) arising in the component industry of the automotive sector. We describe two approaches for the resolution of the LNP. The first approach consists in a constructive heuristic, while the second relies on local search methods. The constructive heuristic is based on a simulation of the positioning of a piece so as to evaluate its fitness within the hide and within the current layout. The local search method operates in cutting patterns. We describe also an improvement of our constructive heuristic in order to apply it at each iteration of the local search procedures.The proposed models were implemented and tested in real instances of the automotive industry. The results illustrate the adequacy and the potential of the proposed approaches.
Autores principais:Pinto, Telmo
Outros Autores:Alves, Cláudio; Carvalho, J. M. Valério de; Brás, Pedro Alexandre Fonseca
Assunto:Decision support systems Heuristics Enterprise applications Tools
Ano:2011
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:In this paper we address a real leather nesting problem (LNP) arising in the component industry of the automotive sector. We describe two approaches for the resolution of the LNP. The first approach consists in a constructive heuristic, while the second relies on local search methods. The constructive heuristic is based on a simulation of the positioning of a piece so as to evaluate its fitness within the hide and within the current layout. The local search method operates in cutting patterns. We describe also an improvement of our constructive heuristic in order to apply it at each iteration of the local search procedures.The proposed models were implemented and tested in real instances of the automotive industry. The results illustrate the adequacy and the potential of the proposed approaches.