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OR/MS decision support models for the specialty crops industry: a literature review

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  • Wenbo Zhang
  • Wilbert Wilhelm

Abstract

Specialty crops (fruits, vegetables, grapes and wine, ornamentals—nursery and floriculture—tree nuts, berries, and dried fruits) comprise a substantial—and growing—portion of agribusiness. Still, the industry is facing a number of severe problems that must be resolved to sustain it and promote its continued growth. This paper is intended to provide growers and distribution managers insights into the variety of decision support possible and benchmarks for improvements they can help to achieve and to provide academic researchers with insights into industry operations and a vision of research needs. Copyright Springer Science+Business Media, LLC 2011

Suggested Citation

  • Wenbo Zhang & Wilbert Wilhelm, 2011. "OR/MS decision support models for the specialty crops industry: a literature review," Annals of Operations Research, Springer, vol. 190(1), pages 131-148, October.
    • Handle: RePEc:spr:annopr:v:190:y:2011:i:1:p:131-148:10.1007/s10479-009-0626-0
    DOI: 10.1007/s10479-009-0626-0
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    3. Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon & Zhang, Abraham, 2018. "Agribusiness supply chain risk management: A review of quantitative decision models," Omega, Elsevier, vol. 79(C), pages 21-42.
    4. Heng Chen & Jennifer K. Ryan, 2023. "Optimal specialty crop planning policies with yield learning and forward contract," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 359-378, February.
    5. Sigifredo Laengle & José M. Merigó & Nikunja Mohan Modak & Jian-Bo Yang, 2020. "Bibliometrics in operations research and management science: a university analysis," Annals of Operations Research, Springer, vol. 294(1), pages 769-813, November.
    6. Wishon, C. & Villalobos, J.R. & Mason, N. & Flores, H. & Lujan, G., 2015. "Use of MIP for planning temporary immigrant farm labor force," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 25-33.
    7. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    8. Cristiana Peano & Vincenzo Girgenti & Claudio Baudino & Nicole Roberta Giuggioli, 2017. "Blueberry Supply Chain in Italy: Management, Innovation and Sustainability," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    9. Sheng-I Chen & Wei-Fu Chen, 2021. "The Optimal Harvest Decisions for Natural and Artificial Maturation Mangoes under Uncertain Demand, Yields and Prices," Sustainability, MDPI, vol. 13(17), pages 1-17, August.
    10. Borodin, Valeria & Bourtembourg, Jean & Hnaien, Faicel & Labadie, Nacima, 2016. "Handling uncertainty in agricultural supply chain management: A state of the art," European Journal of Operational Research, Elsevier, vol. 254(2), pages 348-359.
    11. Johnson, Lisa K. & Bloom, J. Dara & Dunning, Rebecca D. & Gunter, Chris C. & Boyette, Michael D. & Creamer, Nancy G., 2019. "Farmer harvest decisions and vegetable loss in primary production," Agricultural Systems, Elsevier, vol. 176(C).

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