| Full text | |
| Author(s): |
Poltroniere, Sonia Cristina
[1]
;
Filho, Angelo Aliano
[2]
;
Caversan, Amanda Suellen
[3]
;
Balbo, Antonio Roberto
[1]
;
Florentino, Helenice de Oliveira
[4]
Total Authors: 5
|
| Affiliation: | [1] Univ Estadual Paulista, Fac Ciencias, Bauru, SP - Brazil
[2] Univ Tecnol Fed, Dept Acad Matemat, Curitiba, Parana - Brazil
[3] Univ Estadual Paulista, Fac Engn, Bauru, SP - Brazil
[4] Univ Estadual Paulista, Inst Biociencias, Botucatu, SP - Brazil
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | COMPUTERS AND ELECTRONICS IN AGRICULTURE; v. 184, MAY 2021. |
| Web of Science Citations: | 2 |
| Abstract | |
The main products obtained from sugarcane for the global market are sugar, ethanol and energy. Although the demand for these products is high, in Brazil there is no longer space to expand sugarcane cultivation due to other important food crops and environmental protection areas. Therefore, current research seeks ways to increase sugarcane productivity without expanding the planted area. Consequently, a type of cane with higher concentration of fiber has been developed and cultivated called energy-cane. This cane type has more fiber than sucrose in its composition, which makes it better for producing energy and ethanol and inappropriate for sugar production. To meet the demands for these three products, both energy-cane and sugarcane are needed, making the planning and decision-making more difficult in the energy-sugar sector. In this context, a mixed integer linear optimization model for the integrated planning of the planting and harvesting of sugarcane and energy-cane for a sugar-energy plant is proposed to determine an optimized planting and harvesting schedule, that aims to maximize the sucrose and fiber production in the cane fields. The model takes into account a flexible harvest period to meet the demands of the consumer market and respect the operational constraints of the company, which can cause variations in productivity. To solve real-life instances where exact methods fail, a heuristic based on the relax-and-fix and fix-and-optimize concepts is proposed. Numerical experiences with random instances were generated to test both the model and the heuristic. Feasible solutions with an error close to 1% were obtained, consuming one tenth of the CPU time, on average. Thus, the mathematical model and the heuristic method developed have great potential to support decision-making in sugarcane and energy-cane production planning. (AU) | |
| 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: | 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: | 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 |
| FAPESP's process: | 14/20853-0 - Interior/exterior point and smoothing functions hybrid methods in environmental/economic dispatch multiobjective problems |
| Grantee: | Antonio Roberto Balbo |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 14/01604-0 - A multiobjective methodology for renewable energy |
| Grantee: | Helenice de Oliveira Florentino Silva |
| Support Opportunities: | Scholarships abroad - Research |