Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A review of mathematical optimization models applied to the sugarcane supply chain

Full text
Author(s):
Teixeira, Eduardo dos Santos [1] ; Rangel, Socorro [1] ; Florentino, Helenice de O. [2] ; de Araujo, Silvio Alexandre [1]
Total Authors: 4
Affiliation:
[1] Univ Estadual Paulista, UNESP, Dept Matemat, IBILCE, BR-15054000 Sao Jose Do Rio Preto, SP - Brazil
[2] Univ Estadual Paulista, UNESP, Dept Bioestat, IBB, BR-18618689 Botucatu, SP - Brazil
Total Affiliations: 2
Document type: Review article
Source: International Transactions in Operational Research; SEP 2021.
Web of Science Citations: 0
Abstract

Sugarcane is a product of great economic relevance and, as well as its use for the production of different types of sugar, it is also a renewable source for the production of bio-fuels, other bio-products, and electricity. In this context, efficient planning and technology changes are necessary to ensure high productivity, competitiveness and harmony with economic, social, and environmental issues. Consequently, this sector needs technical and scientific support. Mathematical optimization models can be useful to build efficient planning tools for the activities involved in the sugarcane supply chain, helping to address these challenges. This paper describes the sugarcane supply chain and presents a literature review of mathematical optimization models that have been proposed to represent its main stages: planting, harvesting, transporting, industrial processing, and marketing. The findings show that several models have been proposed to represent these five stages, however, most of them have not been thoroughly explored from the point of view of strength of the models and solution methods. Moreover, the harvesting stage is the one that has received more attention than the other stages. In the integration of two or more stages, there are many challenges yet to be addressed by mathematical optimization models. This review contributes to a better understanding of the sugar-energy sector and opens up new perspectives for future investigations. (AU)

FAPESP's process: 16/01860-1 - Cutting, packing, lot-sizing, scheduling, routing and location problems and their integration in industrial and logistics settings
Grantee:Reinaldo Morabito Neto
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 14/01604-0 - A multiobjective methodology for renewable energy
Grantee:Helenice de Oliveira Florentino Silva
Support Opportunities: Scholarships abroad - Research
FAPESP's process: 14/04353-8 - Multiobjective optimization applied to sugarcane biomass utilization for generation of energy
Grantee:Daniela Renata Cantane
Support Opportunities: Research Grants - Visiting Researcher Grant - International