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Tactical planning of the production and distribution of fresh agricultural products under uncertainty

Listed author(s):
  • Ahumada, Omar
  • Rene Villalobos, J.
  • Nicholas Mason, A.
Registered author(s):

    We present a stochastic tactical planning model for the production and distribution of fresh agricultural products. The model incorporates the uncertainties encountered in the fresh produce industry when developing growing and distribution plans due to the variability of weather and demand. The main motivation for building this model is to make tools available for producers to develop robust growing plans, while allowing the flexibility to choose different levels of exposure to risk.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X1200087X
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    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 112 (2012)
    Issue (Month): C ()
    Pages: 17-26

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    Handle: RePEc:eee:agisys:v:112:y:2012:i:c:p:17-26
    DOI: 10.1016/j.agsy.2012.06.002
    Contact details of provider: Web page: http://www.elsevier.com/locate/agsy

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    1. Trine Kristoffersen, 2005. "Deviation Measures in Linear Two-Stage Stochastic Programming," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 62(2), pages 255-274, November.
    2. Ruszczynski, Andrzej & Swietanowski, Artur, 1997. "Accelerating the regularized decomposition method for two stage stochastic linear problems," European Journal of Operational Research, Elsevier, vol. 101(2), pages 328-342, September.
    3. Santoso, Tjendera & Ahmed, Shabbir & Goetschalckx, Marc & Shapiro, Alexander, 2005. "A stochastic programming approach for supply chain network design under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 96-115, November.
    4. Burak Kazaz, 2004. "Production Planning Under Yield and Demand Uncertainty with Yield-Dependent Cost and Price," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 209-224, October.
    5. Weninger, Quinn & Just, Richard E., 1999. "Are Crop Yields Normally Distributed?," Staff General Research Papers Archive 5064, Iowa State University, Department of Economics.
    6. Bailey Norwood & Matthew C. Roberts & Jayson L. Lusk, 2004. "Ranking Crop Yield Models Using Out-of-Sample Likelihood Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1032-1043.
    7. Stuart J. Allen & Edmund W. Schuster, 2004. "Controlling the Risk for an Agricultural Harvest," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 225-236, July.
    8. 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.
    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. repec:spr:compst:v:62:y:2005:i:2:p:255-274 is not listed on IDEAS
    11. Omar Ahumada & J. Villalobos, 2011. "A tactical model for planning the production and distribution of fresh produce," Annals of Operations Research, Springer, vol. 190(1), pages 339-358, October.
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