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A decision support system to manage the supply chain of sugar cane

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  • Esteban López-Milán
  • Lluis Plà-Aragonés

Abstract

In this work the authors present a Decision Support System (DSS) for planning daily operations in the sugar cane supply chain. The supply chain model is based on a mixed integer linear programming model. The model objective is to minimize transportation costs while assuring cane supply to the sugar mill. The model determines the fields to harvest, the cutting-loading-transport means for such operation, and the roster for each employee. The DSS has been tested under Cuban conditions but easily can be adapted to different situations updating the parameters of the model. Reported savings represent an 8 % of the fuel cost. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Esteban López-Milán & Lluis Plà-Aragonés, 2014. "A decision support system to manage the supply chain of sugar cane," Annals of Operations Research, Springer, vol. 219(1), pages 285-297, August.
    • Handle: RePEc:spr:annopr:v:219:y:2014:i:1:p:285-297:10.1007/s10479-013-1361-0
    DOI: 10.1007/s10479-013-1361-0
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    References listed on IDEAS

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    1. Higgins, Andrew & Thorburn, Peter & Archer, Ainsley & Jakku, Emma, 2007. "Opportunities for value chain research in sugar industries," Agricultural Systems, Elsevier, vol. 94(3), pages 611-621, June.
    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.
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    4. Fae Martin & Arthur Pinkney & Xinghuo Yu, 2001. "Cane Railway Scheduling via Constraint Logic Programming: Labelling Order and Constraints in a Real-Life Application," Annals of Operations Research, Springer, vol. 108(1), pages 193-209, November.
    5. Higgins, Andrew J. & Muchow, Russell C., 2003. "Assessing the potential benefits of alternative cane supply arrangements in the Australian sugar industry," Agricultural Systems, Elsevier, vol. 76(2), pages 623-638, May.
    6. Semenzato, R., 1995. "A simulation study of sugar cane harvesting," Agricultural Systems, Elsevier, vol. 47(4), pages 427-437.
    7. Andrew J. Higgins, 2002. "Australian Sugar Mills Optimize Harvester Rosters to Improve Production," Interfaces, INFORMS, vol. 32(3), pages 15-25, June.
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