Programação da produção : uma abordagem por redes neurais artificiais.
AUTOR(ES)
Ana Rita Tiradentes Terra
DATA DE PUBLICAÇÃO
2000
RESUMO
Production scheduling finds in the most detailed and complex level of production planning and control systems. Due to its nature combinatorial, several methods have been proposed to solve it. Among them there are the techniques of simulation systems and artificial intelligence approaches. This work presents a procedure of solution of production scheduling, through a hybrid model of simulation systems and artificial neural networks. In this procedure, the purpose of the artificial neural network is to learn the relationships between the priority rules designated to the machines of a production system, and the values of performance measures used to evaluate the scheduling. The objective is to analyze the differentiation among a group of combinations of priority rules through the evaluation of four performance measures. Results are presented and commented, highlighting the capacity of generalization of the hybrid model in prescribing priority rules to the machines, based on values of performance measures established by the user.
ASSUNTO(S)
production planning and control inteligência artificial simulação planejamento e controle da produção redes neurais programação heurística production scheduling heuristic scheduling artificial intelligence engenharia de producao neural networks programação da produção simulation
ACESSO AO ARTIGO
http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=1542Documentos Relacionados
- IdentificaÃÃo de sistemas dinÃmicos via redes neurais artificiais.
- ClassificaÃÃo supervisionada de imagens SAR via redes neurais artificiais.
- Identificação automática de áreas cafeeiras em imagens de satélite utilizando redes neurais artificiais.
- Identificação automática de áreas cafeeiras em imagens de satélite utilizando redes neurais artificiais.
- Modeling of pain using artificial neural networks.