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Heuristic guided simulator for the operational planning of the transport of sugar cane

Author

Listed:
  • M H Hahn

    (State University of Campinas)

  • R V Ribeiro

    (State University of Campinas)

Abstract

This paper presents a computational tool for the operational planning of the transportation of sugar cane to mills. A simulation model was developed to serve as a basis for a heuristic which automatically allocates the equipment available at a mill to the different collection points so that the sugar cane available can be loaded for delivery with the minimal amount of equipment. The program is user-friendly, and compatible with Windows. The approach used emphasises the flexibility of the model and the interactiveness possible during the planning process. Successful trial tests with real data are reported.

Suggested Citation

  • M H Hahn & R V Ribeiro, 1999. "Heuristic guided simulator for the operational planning of the transport of sugar cane," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(5), pages 451-459, May.
    • Handle: RePEc:pal:jorsoc:v:50:y:1999:i:5:d:10.1057_palgrave.jors.2600660
    DOI: 10.1057/palgrave.jors.2600660
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    Citations

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    Cited by:

    1. Thorpe, Andy & Bennett, Elizabeth, 2004. "Market-Driven International Fish Supply Chains: The Case of Nile Perch from Africa's Lake Victoria," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 7(4), pages 1-18.
    2. 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.
    3. Jahangirian, Mohsen & Eldabi, Tillal & Naseer, Aisha & Stergioulas, Lampros K. & Young, Terry, 2010. "Simulation in manufacturing and business: A review," European Journal of Operational Research, Elsevier, vol. 203(1), pages 1-13, May.
    4. Junqueira, Rogerio de Ávila Ribeiro & Morabito, Reinaldo, 2019. "Modeling and solving a sugarcane harvest front scheduling problem," International Journal of Production Economics, Elsevier, vol. 213(C), pages 150-160.

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