Abstract
A timber harvest scheduling model with several criteria was first formulated by considering the net present value as the objetive function and the other criteria as rigid constraints. However this type of formulation generated an empty feasible set. Therefore, the problem was then reformulated as a compromise programming model. The preferential weights incorporated into the models were derived through the application of the Analitical Hierarchy Process (AHP) method after interviewing a group of forestry experts. All the theoretical developments were applied to the forest “Dehesa de la Garganta” in Segovia Mountains (“Sistema Central”), with an area of 2111 hectares covered with Scots pine (Pinus sylvestris L.).
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© 1997 Springer-Verlag Berlin Heidelberg
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Díaz-Balteiro, L., Romero, C. (1997). Timber Harvesting Scheduling Problems: A Compromise Programming Approach. In: Caballero, R., Ruiz, F., Steuer, R. (eds) Advances in Multiple Objective and Goal Programming. Lecture Notes in Economics and Mathematical Systems, vol 455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46854-4_36
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