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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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    1. 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.
    2. 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.
    3. Earl O. Heady, 1954. "Simplified Presentation and Logical Aspects of Linear Programming Technique," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 36(5), pages 1035-1048.
    4. Higgins, Andrew, 2006. "Scheduling of road vehicles in sugarcane transport: A case study at an Australian sugar mill," European Journal of Operational Research, Elsevier, vol. 170(3), pages 987-1000, May.
    5. Timothy J. Lowe & Paul V. Preckel, 2004. "Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 201-208.
    6. 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.
    7. Martin Durbin & Karla Hoffman, 2008. "OR PRACTICE---The Dance of the Thirty-Ton Trucks: Dispatching and Scheduling in a Dynamic Environment," Operations Research, INFORMS, vol. 56(1), pages 3-19, February.
    8. Salassi, Michael E. & Garcia, Mercedes & Breaux, Janis B. & No, Sung Chul, 2004. "Impact of Sugarcane Delivery Schedule on Product Value at Raw Sugar Factories," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 22(1), pages 1-15.
    9. Ahumada, Omar & Villalobos, J. Rene, 2009. "Application of planning models in the agri-food supply chain: A review," European Journal of Operational Research, Elsevier, vol. 196(1), pages 1-20, July.
    10. Andrew Higgins & Steve Postma, 2004. "Australian Sugar Mills Optimise Siding Rosters to Increase Profitability," Annals of Operations Research, Springer, vol. 128(1), pages 235-249, April.
    11. Verena Schmid & Karl F. Doerner & Richard F. Hartl & Martin W. P. Savelsbergh & Wolfgang Stoecher, 2009. "A Hybrid Solution Approach for Ready-Mixed Concrete Delivery," Transportation Science, INFORMS, vol. 43(1), pages 70-85, February.
    12. Neves, Marcos Fava & Gustavo Trombin, Vinicius & Alberto Consoli, Matheus, 2010. "Measurement of Sugar Cane Chain in Brazil," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 13(3), pages 1-18, September.
    13. McConnell, Michael & Dohlman, Erik & Haley, Stephen L., 2010. "World Sugar Price Volatility Intensified by Market and Policy Factors," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-8.
    14. Jeffrey W. Ohlmann & Michael J. Fry & Barrett W. Thomas, 2008. "Route Design for Lean Production Systems," Transportation Science, INFORMS, vol. 42(3), pages 352-370, August.
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    Cited by:

    1. 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.
    2. 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.

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