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Cristian D Palma ; Héctor Sepúlveda ;Bosque 2015, 36 2

Autor: Francisco P Vergara

Fuente: http://www.redalyc.org/

Introducción

Bosque ISSN: 0304-8799 revistabosque@uach.cl Universidad Austral de Chile Chile Vergara, Francisco P; Palma, Cristian D; Sepúlveda, Héctor A comparison of optimization models for lumber production planning Bosque, vol.
36, núm.
2, 2015, pp.
239-246 Universidad Austral de Chile Valdivia, Chile Available in: http:--www.redalyc.org-articulo.oa?id=173141111009 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative BOSQUE 36(2): 239-246, 2015 DOI: 10.4067-S0717-92002015000200009 A comparison of optimization models for lumber production planning Comparación de modelos de optimización para la planificación de la producción de madera aserrada Francisco P Vergara a*, Cristian D Palma b , Héctor Sepúlveda a Autor de correspondencia: a Universidad del Bío Bío, Facultad de Ingeniería, Departamento de Ingeniería en Maderas, Avenida Collao 1202, Concepción, Chile, tel.: 56-41-3111668, fvergara@ubiobio.cl b Universidad del Desarrollo, Facultad de Ingeniería, Concepción, Chile. * SUMMARY The performance of sawmills is strongly dependent on how logs are sawn into lumber in order to satisfy the customer demands.
To do this, sawmill managers have to decide which cutting patterns have to be applied to logs of different dimensions.
Optimization models have been proposed to assist decision makers in this process, but only the profit maximization and the cost minimization of the decisions have been considered as the models objective.
In this paper, a linear optimization model was formulated to address lumber production planning and applied to a real problem.
The current decisions at sawmills were compared with five different objective functions: the two previously mentioned plus waste minimization, log number minimization and production t...

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