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When do I want to know and why? Different demands on sugarcane yield predictions

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  • Bocca, Felipe Ferreira
  • Rodrigues, Luiz Henrique Antunes
  • Arraes, Nilson Antonio Modesto

Abstract

The production planning processes of sugarcane mills require quantitative information to support decisions on sugarcane yield and the effects of decisions made during planning. An exploratory study was conducted at a sugarcane mill with the goals of identifying the main decisions influenced by the prospects of future yield and of evaluating the manner in which those forecasts affect planning. Key decisions and their characteristics were identified based on a series of interviews and activity monitoring. These decisions are presented and discussed in relation to various solutions proposed by the scientific community for planning, as well as within the concept of Advanced Planning Systems. The yield forecasts used to inform budgeting and harvesting plans are of critical importance because actions taken based on those forecasts affect the entire value chain, highlighting the need for a decision-making framework that assess the effects of decisions on subsequent processes. Advanced Planning Systems design to the sugar value chain should incorporate the use of yield forecasts for production and must address the uncertainties throughout the entire system. These improvements can enhance the performances of Advanced Planning Systems by producing an integrated planning approach that is based on a comprehensive assessment of the sugar value chain.

Suggested Citation

  • Bocca, Felipe Ferreira & Rodrigues, Luiz Henrique Antunes & Arraes, Nilson Antonio Modesto, 2015. "When do I want to know and why? Different demands on sugarcane yield predictions," Agricultural Systems, Elsevier, vol. 135(C), pages 48-56.
    • Handle: RePEc:eee:agisys:v:135:y:2015:i:c:p:48-56
    DOI: 10.1016/j.agsy.2014.11.008
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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. Everingham, Y. L. & Muchow, R. C. & Stone, R. C. & Inman-Bamber, N. G. & Singels, A. & Bezuidenhout, C. N., 2002. "Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts," Agricultural Systems, Elsevier, vol. 74(3), pages 459-477, December.
    3. Danese, Pamela & Kalchschmidt, Matteo, 2011. "The role of the forecasting process in improving forecast accuracy and operational performance," International Journal of Production Economics, Elsevier, vol. 131(1), pages 204-214, May.
    4. Fleischmann, B. & Meyr, H., 2003. "Planning Hierarchy, Modeling and Advanced Planning Systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36714, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Grunow, M. & Gunther, H.-O. & Westinner, R., 2007. "Supply optimization for the production of raw sugar," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 224-239, October.
    6. Nizar El Hachemi & Michel Gendreau & Louis-Martin Rousseau, 2011. "A hybrid constraint programming approach to the log-truck scheduling problem," Annals of Operations Research, Springer, vol. 184(1), pages 163-178, April.
    7. Bezuidenhout, C.N. & Singels, A., 2007. "Operational forecasting of South African sugarcane production: Part 2 - System evaluation," Agricultural Systems, Elsevier, vol. 92(1-3), pages 39-51, January.
    8. Stadtler, Hartmut, 2005. "Supply chain management and advanced planning--basics, overview and challenges," European Journal of Operational Research, Elsevier, vol. 163(3), pages 575-588, June.
    9. Bezuidenhout, C.N. & Singels, A., 2007. "Operational forecasting of South African sugarcane production: Part 1 - System description," Agricultural Systems, Elsevier, vol. 92(1-3), pages 23-38, January.
    10. Irvin J. Lustig & Jean-François Puget, 2001. "Program Does Not Equal Program: Constraint Programming and Its Relationship to Mathematical Programming," Interfaces, INFORMS, vol. 31(6), pages 29-53, December.
    11. Andrés Weintraub & Carlos Romero, 2006. "Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison," Interfaces, INFORMS, vol. 36(5), pages 446-457, October.
    12. Andrew J. Higgins, 2002. "Australian Sugar Mills Optimize Harvester Rosters to Improve Production," Interfaces, INFORMS, vol. 32(3), pages 15-25, June.
    13. Huub Spiertz, 2013. "Challenges for Crop Production Research in Improving Land Use, Productivity and Sustainability," Sustainability, MDPI, vol. 5(4), pages 1-13, April.
    14. 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.
    15. 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.
    16. 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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