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Sugarcane Harvest Logistics in Brazil

Author

Listed:
  • Kamal Lamsal

    (School of Business, Emporia State University, Emporia, Kansas 66801)

  • Philip C. Jones

    (Department of Management Science, University of Iowa, Iowa City, Iowa 52242)

  • Barrett W. Thomas

    (Department of Management Science, University of Iowa, Iowa City, Iowa 52242)

Abstract

Sugar mills in Brazil represent significant capital investments. To maintain appropriate returns on their investment, sugar companies seek to run the mills at capacity over the entire nine months of the sugarcane harvest season. Because the sugar content of cane degrades considerably once it is cut, maintaining inventories of cut cane is undesirable. Instead, mills want to coordinate the arrival of cut cane with production. In this paper, we present a model of the sugarcane harvest logistics problem in Brazil. We introduce a series of valid inequalities for the model, and we introduce heuristics for finding an initial feasible solution and for lifting the lower bound. Computational results demonstrate the effectiveness of the inequalities and heuristics. In addition, we explore the value of allowing trucks to serve multiple rather than single locations and demonstrate the value of allowing the harvest speed to vary.

Suggested Citation

  • Kamal Lamsal & Philip C. Jones & Barrett W. Thomas, 2017. "Sugarcane Harvest Logistics in Brazil," Transportation Science, INFORMS, vol. 51(2), pages 771-789, May.
    • Handle: RePEc:inm:ortrsc:v:51:y:2017:i:2:p:771-789
    DOI: 10.1287/trsc.2015.0650
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    References listed on IDEAS

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    Cited by:

    1. Aliano Filho, Angelo & A． Oliveira, Washington & Melo, Teresa, 2023. "Multi-objective optimization for integrated sugarcane cultivation and harvesting planning," European Journal of Operational Research, Elsevier, vol. 309(1), pages 330-344.
    2. Juliana Carneiro & Matthew A. Cole & Eric Strobl, 2024. "Foetal Exposure to Air Pollution and Students' Cognitive Performance: Evidence from Agricultural Fires in Brazil," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(1), pages 156-186, February.

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