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Heuristic methods for the leather nesting problem in the automotive industry

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Detalhes bibliográficos
Resumo:In this paper, we address a real leather nesting problem (LNP) with holes and quality zones that arises in the automotive industry. We describe two approaches for the solution 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 later approach suggested in this paper is based in a local search method whose neighbourhood structure operates on cutting patterns. In order to improve this procedure, we also describe an improvement of our constructive heuristic to apply it at each iteration of the local search procedure. The proposed methods were implemented and tested on real instances of the automotive industry. The obtained results for both heuristics illustrate the adequacy and the potential of the proposed approaches.
Autores principais:Pinto, Telmo
Outros Autores:Alves, Cláudio; Valério de Carvalho, José Manuel; Brás, Pedro Alexandre Fonseca
Assunto:Combinatorial optimisation Decision support systems Enterprise applications Heuristics Local search Nesting problem Operations research Residual cutting stock Tools
Ano:2016
País:Portugal
Tipo de documento:artigo
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) with holes and quality zones that arises in the automotive industry. We describe two approaches for the solution 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 later approach suggested in this paper is based in a local search method whose neighbourhood structure operates on cutting patterns. In order to improve this procedure, we also describe an improvement of our constructive heuristic to apply it at each iteration of the local search procedure. The proposed methods were implemented and tested on real instances of the automotive industry. The obtained results for both heuristics illustrate the adequacy and the potential of the proposed approaches.