Optimization-based approach for maximizing profitability of bioethanol supply chain in Brazil

被引：27

作者：

Kostin, Andrei ^{[1
]}

Macowski, Diogo H. ^{[2
]}

Pietrobelli, Juliana M. T. A. ^{[2
]}

Guillen-Gosalbez, Gonzalo ^{[3
]}

Jimenez, Laureano ^{[1
]}

Ravagnani, Mauro A. S. S. ^{[2
]}

机构：

[1] Univ Rovira & Virgili, Dept Engn Quim, Av Paisos Catalans 26, E-43007 Tarragona, Spain

[2] Univ Estadual Maringa, Chem Engn Dept, Av Colombo 5790, BR-87020900 Maringa, Parana, Brazil

[3] Imperial Coll London, Ctr Proc Syst Engn, Dept Chem Engn, South Kensington Campus, London SW7 2AZ, England

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2018年 / 115卷

关键词：

Mathematical programming; Optimization; MILP; Supply chain management; Bioethanol; SUGAR-CANE INDUSTRY; DESIGN; MODEL; ARGENTINA;

D O I：

10.1016/j.compchemeng.2018.04.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：121 / 132

页数：12

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