期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 115, 期 -, 页码 121-132出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2018.04.001
关键词
Mathematical programming; Optimization; MILP; Supply chain management; Bioethanol
资金
- Spanish Ministry of Economy and Competitiveness (MINECO-FEDER) [CTQ2016-77968-C3-1-P]
- Brazilian Ministry of Education - (CAPES)
- Brazilian National Council for the Development of Science and Technology (CNPq) [400741/2013-0]
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. (c) 2018 Elsevier Ltd. All rights reserved.
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