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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
12/12/1997 |
Data da última atualização: |
17/03/2011 |
Autoria: |
FREITAS, R.; BATISTA NETO, J.; PRADO, J. |
Título: |
A sequencing of actions in a manufacturing flexible cell based on artificial intelligence techniques. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
In: CONGRESO INTERNACIONAL DE INGENIERIA INFORMÁTICA, 3., 1997, Buenos Aires. Proceedings... Buenos Aires: Universidad de Buenos Aires, Facultad de Inginieria, 1997. |
Páginas: |
p. 274-283. |
Idioma: |
Inglês |
Conteúdo: |
In the factory of the future, where all phases of the production process are controlled by computing systems, one of the most difficult tasks to be automated is the correct sequencing of actions to be performed by each constituent machine in the manufacture cell. In general, this is due to the large number of problems which may appear during the production of an object. In practice, from a graphic description of an object and a given set of tools, a sequence of actions for a specific CNC tool-machine can be generated by an expert. However, this specification is not only manually created, but also does not observe the problems satisfactorily, bringing the need for a detailed review by an expert. In the light of this a prototype system, which allows satisfactory automation of the production process described above, has been designed and will be presented in this work. The system reuses previously elaborated cases as a model to get new solutions. Systems like this are known as case-based systems and constitutes a research topic within the artificial intelligence field which has received great attention from researchers world-wide, mainly for being potentially applicable in many areas. |
Palavras-Chave: |
Automatização industrial; Inteligência artificial. |
Thesaurus Nal: |
Artificial intelligence; Automation. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01927naa a2200205 a 4500 001 1005513 005 2011-03-17 008 1997 bl uuuu u00u1 u #d 100 1 $aFREITAS, R. 245 $aA sequencing of actions in a manufacturing flexible cell based on artificial intelligence techniques. 260 $c1997 300 $ap. 274-283. 520 $aIn the factory of the future, where all phases of the production process are controlled by computing systems, one of the most difficult tasks to be automated is the correct sequencing of actions to be performed by each constituent machine in the manufacture cell. In general, this is due to the large number of problems which may appear during the production of an object. In practice, from a graphic description of an object and a given set of tools, a sequence of actions for a specific CNC tool-machine can be generated by an expert. However, this specification is not only manually created, but also does not observe the problems satisfactorily, bringing the need for a detailed review by an expert. In the light of this a prototype system, which allows satisfactory automation of the production process described above, has been designed and will be presented in this work. The system reuses previously elaborated cases as a model to get new solutions. Systems like this are known as case-based systems and constitutes a research topic within the artificial intelligence field which has received great attention from researchers world-wide, mainly for being potentially applicable in many areas. 650 $aArtificial intelligence 650 $aAutomation 653 $aAutomatização industrial 653 $aInteligência artificial 700 1 $aBATISTA NETO, J. 700 1 $aPRADO, J. 773 $tIn: CONGRESO INTERNACIONAL DE INGENIERIA INFORMÁTICA, 3., 1997, Buenos Aires. Proceedings... Buenos Aires: Universidad de Buenos Aires, Facultad de Inginieria, 1997.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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