CONICET | Buscador de Institutos y Recursos Humanos

Supply chain management problems are widespread across all economic activities. We analyze here how to addressthese in the case of the forest industry, which in emerging economies such as Argentina is subject to high logistic costs and facesproblems of biological and economic sustainability. In this work, we analyze a management model covering from the scheduleof harvesting activities and the transportation of raw materials to the final transformation at several industrial plants. Since thisinvolves more than one objective, single-criterion mathematical programming methods are not appropriate. Here, instead, weintroduce an extended goal programming formulation of the problem, able to yield good solutions in a computationally efficientway. We consider four goals: the maximization of the net present value of the production, the minimization of interannualvariations in harvests, the maximization of carbon capture in the form of forest biomass, and the minimization of variations inthe mean annual distance covered in transportation to the industrial plants. We apply this theoretical model to derive solutionsfor an actual Argentinean company. We show that the model reaches the target levels of the different goals, except for carbonbalance, which is negative in all of the scenarios under evaluation.