Diseño Óptimo de la Cadena de Suministros de Papel

Abstract

The Argentinean paper supply chain (SC) requires investments in order to increase the installed capacities, looking for its nodes integration. The global paper SC design is evaluated in this work, considering the following nodes: raw material sites where different wood species can be obtained, pulp and paper separate plants that can be installed in different locations, and integrated plants which produce both pulp and paper in the same industrial complex. In any node, the installation of different processes is considered in order to obtain different types of papers. A mixed integer linear programming (MILP) model for the optimal paper supply chain design is proposed in this work, considering decisions such as the nodes locations, the produced quantities, the processes, and the materials flows from one node to other in the network, in order to minimize the total costs, such that the demand of different types of papers is satisfied. The proposed MILP model is implemented in GAMS system and efficiently solved considering a case study. The optimal solution is obtained in 0,219 seconds with a total cost of 13.660 million Argentinean pesos by year.