Decision Support Systems Intelligent to Predict and Optimize the Assembly Time for New Product Design Using a Fuzzy-Evolutionary Multimodal Approach
In this paper three case studies are presented applying a Fuzzy-Evolutionary Multimodal approach to predict and optimize the prediction assembly time, this methodology can be a good complement of the design for assembly methodology of Boothroy-Dewhurst. This hybrid method analyzes different situatio...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2006 |
| País: | México |
| Institución: | Corporación Mexicana de Investigación en Materiales |
| Repositorio: | Repositorio COMIMSA |
| Idioma: | español |
| OAI Identifier: | oai:comimsa.repositorioinstitucional.mx:1022/379 |
| Acceso en línea: | http://comimsa.repositorioinstitucional.mx/jspui/handle/1022/379 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/ARTÍCULO/LÓGICA DIFUSA info:eu-repo/classification/cti/7 |
| Sumario: | In this paper three case studies are presented applying a Fuzzy-Evolutionary Multimodal approach to predict and optimize the prediction assembly time, this methodology can be a good complement of the design for assembly methodology of Boothroy-Dewhurst. This hybrid method analyzes different situations and conditions, identifies sources of variability that should be avoided during the process design because it increases the assembly time. The evolutionary algorithm searches the set of inputs or conditions in the fuzzy model and uses the predicted time to evaluate every set of inputs generated, the best tree conditions with and without constrains design are found by this approach. The research show the advantages of use a Fuzzy-Evolutionary Multimodal approach in order to analyze the variables behavior to predict, control and optimize the assembly time in the new product design. |
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