Mathematical Optimization Models in the Sugarcane Harvesting Process

Doriguel, Fernando; Crusciol, Carlos Alexandre Costa; Florentino, Helenice de Oliveira

doi:10.5772/intechopen.71530

Cited by 3 publications

(2 citation statements)

References 43 publications

(54 reference statements)

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“…The harvesting is no longer carried out by a large group of cane cutters but by a smaller group of workers operating harvesting machines. This format is the most common nowadays and, therefore, much of the recent research has focused on mechanized harvesting (Doriguel et al., 2018). Several factors have stimulated this change, including the environmental damage caused by recurrent fires (O'Hara and Mundree, 2016) and the increasing volume of sugarcane which is beyond the capabilities of manual labor (Kittilertpaisan and Pathumnakul, 2015; O'Hara and Mundree, 2016).…”

Section: Analysis and Discussion Of The Selected Papersmentioning

confidence: 99%

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

Teixeira¹,

Rangel²,

Florentino³

et al. 2021

Int Trans Operational Res

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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.

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Section: Analysis and Discussion Of The Selected Papersmentioning

confidence: 99%

“…To the best of our knowledge, only Doriguel et al. (2018) have reviewed the application of mathematical optimization models to sugarcane production planning. The authors reviewed mathematical optimization models applied to the sugarcane harvesting process in the years 1970–2017.…”

Section: Introductionmentioning

confidence: 99%

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

Teixeira¹,

Rangel²,

Florentino³

et al. 2021

Int Trans Operational Res

View full text Add to dashboard Cite

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Improving Fresh Fruit Bunches Unloading Process at Palm Oil Mills with Discrete-Event Simulation

Racedo-Gutiérrez

Collazos-Morales

Gómez-Rueda

et al. 2020

Computational Science and Its Applications – ICCSA 2020

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Palm oil industry is an important agricultural activity in Colombia. Agents of this industry have chosen associative strategies and vertical integrations to increase their efficiency. However, reducing logistics costs to compete with countries such as Thailand and Malaysia, is still a challenge, also due to the scarceness of applied research in the palm oil logistics processes. In this paper, we present a continuous-discrete simulation-based approach to evaluate and optimize the fresh fruit bunches unloading process at the mill. Two simulation models representing the current process and alternative process scenarios were developed and compared. The findings show that important improvements in waiting time and supplier satisfaction can be achieved without major investments.

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An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources

Pitakaso,

Sethanan,

Kumar

et al. 2024

Ann Oper Res

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Mathematical Optimization Models in the Sugarcane Harvesting Process

Cited by 3 publications

References 43 publications

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

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

Improving Fresh Fruit Bunches Unloading Process at Palm Oil Mills with Discrete-Event Simulation

An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources

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