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Applications of location analysis in agriculture: a survey

Author

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  • M T Lucas

    (School of Business Administration, The University of Vermont)

  • D Chhajed

    (University of Illinois at Urbana-Champaign)

Abstract

This article presents a survey of applications of operations research-based techniques to location problems in agriculture. From the early work in the field to more recent applications, researchers have successfully applied, adapted, and improved theoretical location models to fulfil the field's specific needs. This article discusses earlier work in agricultural location theory starting with the seminal work by von Thünen. It then introduces diverse and innovative applications of location models from the 1950s and 1960s. The authors then identify distinguishing features of location problems in agriculture, and discuss their impact on the analysis. In order to illustrate these features and the variety of operations research-based applications to agricultural location, the article turns to six real-world examples. It then considers, in Conclusion, some of the directions that agricultural location theory may take in the future.

Suggested Citation

  • M T Lucas & D Chhajed, 2004. "Applications of location analysis in agriculture: a survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(6), pages 561-578, June.
  • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:6:d:10.1057_palgrave.jors.2601731
    DOI: 10.1057/palgrave.jors.2601731
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    12. Flores, Hector & Villalobos, J. Rene, 2018. "A modeling framework for the strategic design of local fresh-food systems," Agricultural Systems, Elsevier, vol. 161(C), pages 1-15.
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    15. 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.
    16. Zaric, Vlade & Vasiljevic, Zorica & Petkovic, Danijela, 2013. "Possible Supply Chain Models for Small Agricultural Producers in Serbia," 2013 Conference: Tools for decision support in agriculture and rural development, April 18-19, 2013, Krško, Slovenia 183910, Slovenian Association of Agricultural Economists (DAES).
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    18. Rana Azab & Rana S. Mahmoud & Rahma Elbehery & Mohamed Gheith, 2023. "A Bi-Objective Mixed-Integer Linear Programming Model for a Sustainable Agro-Food Supply Chain with Product Perishability and Environmental Considerations," Logistics, MDPI, vol. 7(3), pages 1-29, July.

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