Journal
ANNALS OF OPERATIONS RESEARCH
Volume 314, Issue 2, Pages 451-469Publisher
SPRINGER
DOI: 10.1007/s10479-020-03610-y
Keywords
Agriculture; Heuristics; Integer programming; Sugarcane production
Categories
Funding
- Brazilian foundation: Conselho Nacional de Desenvolvimento Cientifico e Tecnologico - CNPq [312551/2019-3]
- Brazilian foundation: Pro-Reitoria de Pesquisa da UNESP - PROPE
- Brazilian foundation: Fundacao para o Desenvolvimento da UNESP - FUNDUNESP
- Brazilian foundation: Fundacao de Amparo a Pesquisa do Estado de Sao Paulo - FAPESP [2014/01604-0, 2014/04353-8]
Ask authors/readers for more resources
This paper proposes a new mathematical programming model to optimize the selection of sugarcane varieties and the determination of the best planting and harvesting period. The model can improve the production and quality of sugarcane biomass, while satisfying the constraints of sugarcane companies. Different solving methods are used for different scales of problems.
The problem of selecting sugarcane varieties has been widely discussed due to its computational complexity and its great impact for the sugar and ethanol industry. This paper proposes a new integrated mathematical programming model to deal with the selection of sugarcane varieties to be planted and the determination of the optimal period for planting and harvesting in order to increase production in the sugarcane industry. The proposed model optimizes the production of sugarcane and improves the quality of biomass whilst satisfying the main constraints imposed by sugarcane companies. The problem is modelled as an integer linear program and solved using an exact method to generate optimal solutions for small and medium problems. For large problems, metaheuristic approaches based on Genetic Algorithm and Variable Neighbourhood Search are proposed. According to the results, the proposed methodology provides sugarcane company managers with decision support in selecting the most suitable varieties and in determining the best period to plant and harvest their sugarcane.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available