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

Listed author(s):
  • 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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    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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    1. Philip C. Jones & Greg Kegler & Timothy J. Lowe & Rodney D. Traub, 2003. "Managing the Seed-Corn Supply Chain at Syngenta," Interfaces, INFORMS, vol. 33(1), pages 80-90, February.
    2. 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.
    3. 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.
    4. 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.
    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.
    6. Calvin, Linda & Cook, Roberta L. & Denbaly, Mark & Dimitri, Carolyn & Glaser, Lewrene K. & Handy, Charles R. & Jekanowski, Mark D. & Kaufman, Phillip R. & Krissoff, Barry & Thompson, Gary D. & Thornsb, 2001. "U.S. Fresh Fruit and Vegetable Marketing: Emerging Trade Practices, Trends, and Issues," Agricultural Economics Reports 33915, United States Department of Agriculture, Economic Research Service.
    7. 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.
    8. Johnson, D. Demcey & Krissoff, Barry & Young, C. Edwin & Hoffman, Linwood A. & Lucier, Gary & Breneman, Vincent E., 2006. "Eliminating Fruit and Vegetable Planting Restrictions: How Would Markets Be Affected?," Economic Research Report 7249, United States Department of Agriculture, Economic Research Service.
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