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An optimization model for combined selecting, planting and harvesting sugarcane varieties

Author

Listed:
  • Helenice de O. Florentino

    (Departamento de Bioestatística IB UNESP)

  • Dylan F. Jones

    (University of Portsmouth)

  • Chandra Ade Irawan

    (Nottingham University Business School China, University of Nottingham Ningbo China)

  • Djamila Ouelhadj

    (University of Portsmouth)

  • Banafesh Khosravi

    (University of Portsmouth)

  • Daniela R. Cantane

    (Departamento de Bioestatística IB UNESP)

Abstract

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.

Suggested Citation

  • Helenice de O. Florentino & Dylan F. Jones & Chandra Ade Irawan & Djamila Ouelhadj & Banafesh Khosravi & Daniela R. Cantane, 2022. "An optimization model for combined selecting, planting and harvesting sugarcane varieties," Annals of Operations Research, Springer, vol. 314(2), pages 451-469, July.
    • Handle: RePEc:spr:annopr:v:314:y:2022:i:2:d:10.1007_s10479-020-03610-y
    DOI: 10.1007/s10479-020-03610-y
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    References listed on IDEAS

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    1. Sartori, Maria Márcia Pereira & Florentino, Helenice de Oliveira & Basta, Cesar & Leão, Alcides Lopes, 2001. "Determination of the optimal quantity of crop residues for energy in sugarcane crop management using linear programming in variety selection and planting strategy," Energy, Elsevier, vol. 26(11), pages 1031-1040.
    2. A J Higgins & L A Laredo, 2006. "Improving harvesting and transport planning within a sugar value chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 367-376, April.
    3. Colin, Emerson C., 2009. "Mathematical programming accelerates implementation of agro-industrial sugarcane complex," European Journal of Operational Research, Elsevier, vol. 199(1), pages 232-235, November.
    4. Higgins, Andrew & Antony, George & Sandell, Gary & Davies, Ian & Prestwidge, Di & Andrew, Bill, 2004. "A framework for integrating a complex harvesting and transport system for sugar production," Agricultural Systems, Elsevier, vol. 82(2), pages 99-115, November.
    5. Vanja Calija & Andrew Higgins & Phillip Jackson & Leone Bielig & Danny Coomans, 2001. "An Operations Research Approach to the Problem of the Sugarcane Selection," Annals of Operations Research, Springer, vol. 108(1), pages 123-142, November.
    6. Rafael Paiva & Reinaldo Morabito, 2009. "An optimization model for the aggregate production planning of a Brazilian sugar and ethanol milling company," Annals of Operations Research, Springer, vol. 169(1), pages 117-130, July.
    7. H de Oliveira Florentino & M V Pato, 2014. "A bi-objective genetic approach for the selection of sugarcane varieties to comply with environmental and economic requirements," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(6), pages 842-854, June.
    8. Jena, Sanjay Dominik & Poggi, Marcus, 2013. "Harvest planning in the Brazilian sugar cane industry via mixed integer programming," European Journal of Operational Research, Elsevier, vol. 230(2), pages 374-384.
    9. Piewthongngam, Kullapapruk & Pathumnakul, Supachai & Setthanan, Kanchana, 2009. "Application of crop growth simulation and mathematical modeling to supply chain management in the Thai sugar industry," Agricultural Systems, Elsevier, vol. 102(1-3), pages 58-66, October.
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    1. Tarun Jain & Jishnu Hazra & T. C. E. Cheng, 2023. "Analysis of upstream pricing regulation and contract structure in an agriculture supply chain," Annals of Operations Research, Springer, vol. 320(1), pages 85-122, January.

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