In this work, a mathematical approach for optimizing and planning the Brazilian bioethanol supply chains (SC) is presented. The optimization problem has an MILP formulation, aiming to maximize the net present value (NPV) of the entire SC of the sugar and bioethanol sector in Brazil. The model takes into account seven different production technologies, two types of warehouses, three types of transportation modes and seven exportation options, whose data were obtained from Brazilian industrial practices. The model aims to propose the optimal configuration of a bioethanol network, that is, the locations of the production and storage facilities, their capacity of expansion policy, the technology selected for manufacturing and materials storage and the flows of all feedstock and final products involved in the bioethanol SC in Brazil. A comparison between the current situation of Brazilian bioethanol SC and the optimal configuration achieved by the proposed model is also included.

在这项工作中，提出了一种用于优化和规划巴西生物乙醇供应链（SC）的数学方法。优化问题具有MILP公式，旨在最大化巴西糖和生物乙醇行业整个SC的净现值（NPV）。该模型考虑了七种不同的生产技术，两种类型的仓库，三种类型的运输方式和七个出口选项，这些数据均来自巴西的工业实践。该模型旨在提出生物乙醇网络的最佳配置，即生产和存储设施的位置，其扩展策略的能力，为制造和材料存储选择的技术以及所涉及的所有原料和最终产品的流量巴西的生物乙醇SC。