Tactical planning of the production and distribution of fresh agricultural products under uncertainty
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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- Richard E. Just & Quinn Weninger, 1999.
"Are Crop Yields Normally Distributed?,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
- Weninger, Quinn & Just, Richard E., 1999. "Are Crop Yields Normally Distributed?," Staff General Research Papers Archive 5064, Iowa State University, Department of Economics.
- 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.
- 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.
- repec:spr:compst:v:62:y:2005:i:2:p:255-274 is not listed on IDEAS
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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. Full references (including those not matched with items on IDEAS)
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