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Operational model for planning the harvest and distribution of perishable agricultural products


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  • Ahumada, Omar
  • Villalobos, J. Rene
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    This paper presents an operational model that generates short term planning decisions for the fresh produce industry. In particular, the application developed helps the grower to maximize his revenues by making production and distribution decisions during the harvest season. The main motivation for this model comes from the fact that the profitability of producers is highly dependent on the handling of short term planning in the harvest season. Some of the factors affecting profitability include the management of labor costs, the preservation of the value of perishable crops, and the use transportation modes that provide the best trade-off between time (quality of products) and cost. These issues are interrelated, and their judicious management is fundamental for attaining good financial results. The results of the proposed planning model indicate that significant savings can be obtained by managing the trade-off of the freshness at the delivery of the product with the added labor and transportation cost at the grower's side. Moreover the results also show that dynamic, information based, management practices might be preferred over traditional practices based in fixed labor allocation and distribution practices.

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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 133 (2011)
    Issue (Month): 2 (October)
    Pages: 677-687

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    Handle: RePEc:eee:proeco:v:133:y:2011:i:2:p:677-687

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    Keywords: Agricultural planning Agricultural logistics Mixed integer programming Perishable products Operational planning;


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    1. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    2. Miller, W. A. & Leung, L. C. & Azhar, T. M. & Sargent, S., 1997. "Fuzzy production planning model for fresh tomato packing," International Journal of Production Economics, Elsevier, vol. 53(3), pages 227-238, December.
    3. 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.
    4. Tijskens, L. M. M. & Polderdijk, J. J., 1996. "A generic model for keeping quality of vegetable produce during storage and distribution," Agricultural Systems, Elsevier, vol. 51(4), pages 431-452, August.
    5. 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.
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    Cited by:
    1. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline.M. & Meuwissen, Miranda P.M. & van der Vorst, Jack G.A.J., 2012. "A Review on Quantitative Models for Sustainable Food Logistics Management," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2).
    2. Tan, Barış & Çömden, Nihan, 2012. "Agricultural planning of annual plants under demand, maturation, harvest, and yield risk," European Journal of Operational Research, Elsevier, vol. 220(2), pages 539-549.
    3. Soysal, Mehmet & Bloemhof, Jacqueline M. & van der Vorst, Jack G.A.J., 2012. "A Review of Quantitative Models for Sustainable Food Logistics Management: Challenges and Issues," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144974, International European Forum on Innovation and System Dynamics in Food Networks.
    4. Hu, Ming-Che & Chen, Yu-Hui & Huang, Li-Chun, 2014. "A sustainable vegetable supply chain using plant factories in Taiwanese markets: A Nash–Cournot model," International Journal of Production Economics, Elsevier, vol. 152(C), pages 49-56.


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