An optimization model for the combined planning and harvesting of sugarcane with maturity considerations
| Autor: | Dylan Jones, Paulo Roberto Isler, Jonis Jecks Nervis, Helenice de Oliveira Florentino, Rômulo Pimentel Ramos |
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| Rok vydání: | 2016 |
| Předmět: |
021103 operations research
Agricultural and Biological Sciences(all) Computer science business.industry 0211 other engineering and technologies Agriculture 04 agricultural and veterinary sciences 02 engineering and technology Agricultural engineering renewable energy Nonlinear programming Renewable energy Work (electrical) Genetic algorithm 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Mill Production (economics) Operations management Factory General Agricultural and Biological Sciences business |
| Zdroj: | Ramos, R, Isler, P, de Oliveira Florentino, H, Jones, D & Nervis, J 2016, ' An optimization model for the combined planning and harvesting of sugarcane with maturity considerations ', African Journal of Agricultural Research, vol. 11, no. 40, pp. 3950-3958 . https://doi.org/10.5897/AJAR2016.11441 |
| ISSN: | 1991-637X |
| DOI: | 10.5897/ajar2016.11441 |
| Popis: | Planting and harvesting are important stages in the sugarcane crop cycle, because well planned planting and harvesting phases promote a series of benefits throughout the cultivation cycle and in the subsequent industrial use of the products. These benefits are operational, economic and environmental such as: improved utilization of the land area and transport logistics; an increase in sugarcane output; better cane reception in the factory; in administrative simplification of the industrial activities; in enhanced response to the demands of the industry; in cost planning; and in the control of pests and weeds. In this work a methodology of optimal cultivation planning to sugarcane planting and harvesting is proposed. The cultivation plan is for 5 years; and key decisions to be made in this period are to determine the planting date, the variety selection and the harvesting date corresponding for each plot such that the global production is optimized. We propose a mathematical model for this optimization task. The model uses computational and mathematical strategies to ensure that date of harvesting is always in period of the maximum maturation of the sugarcane and considers all demand and other operational constraints of the processing mill. The binary nonlinear optimization model was solved by a proposed genetic algorithm, giving an optimum plan with a potential sugarcane production 17.8% above production obtained by conventional means in the mill. Key words: Genetic algorithm, integer nonlinear optimization model, optimal planning, Saccharum spp., sugarcane planting and harvesting. |
| Databáze: | OpenAIRE |
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