A lagrangian relaxation approach for a machinery location problem in forest harvesting
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A lagrangian relaxation approach for a machinery location problem in forest harvesting
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| Id. |
518017 |
| Idioma |
inglés
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| Titulo |
A lagrangian relaxation approach for a machinery location problem in forest harvesting |
| Autor(es) |
Vera,Jorge R. Weintraub,Andrés Koenig,Manfred Bravo,Gaston Guignard,Monique Barahona,Francisco |
| Localización |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382003000100009
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| Versión |
1.0 |
| Estado |
Final
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| Descripción |
The correct location of harvesting machinery is an important problem for the timber industry, as these are expensive pieces of equipment. Also, access roads need to be constructed within a season of harvesting. In this paper, we present the modelling of this problem as a mixed integer linear model which, without any special technique, is very difficult to solve. Strengthening of the original linear programming formulation, and a Lagrangian Relaxation algorithm are developed to improve the solution process. We show test results in a real industry problem. |
| Tipo |
text/html |
| Palabras clave |
large scale optimization |
| Tipo de recurso |
journal article
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| Tipo de Interactividad |
Expositivo
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| Nivel de Interactividad |
muy bajo
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| Audiencia |
Estudiante
Profesor
Autor
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| Estructura |
Atomic |
| Coste |
no
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| Copyright |
sí
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| Formatos |
text/html |
| Requerimientos técnicos |
Browser: Any |
| Fecha de contribución |
23-may-2005 |
| Contacto |
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