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Comparative Evaluation of the Performance of Spans of Control Designs in Grain Supply Chains

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  • Baiyee-Mbi, Agbor-Baiyee
  • Mazzocco, Michael A.

Abstract

A fuzzy multi-objective linear programming model is used to analyze the performances of three spans of control designs that are observed in the U.S grain industry. Performance of the grain supply chain increases with amount of control and compromise.

Suggested Citation

  • Baiyee-Mbi, Agbor-Baiyee & Mazzocco, Michael A., 2005. "Comparative Evaluation of the Performance of Spans of Control Designs in Grain Supply Chains," 2005 Annual meeting, July 24-27, Providence, RI 19313, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea05:19313
    DOI: 10.22004/ag.econ.19313
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Barry, Peter J., 1995. "Industrialization of U.S. Agriculture: Policy, Research, and Education Needs," Agricultural and Resource Economics Review, Cambridge University Press, vol. 24(1), pages 128-135, April.
    3. V. Kasturi Rangan & Andris A. Zoltners & Robert J. Becker, 1986. "The Channel Intermediary Selection Decision: A Model and an Application," Management Science, INFORMS, vol. 32(9), pages 1114-1122, September.
    4. V. James Rhodes, 1995. "The Industrialization of Hog Production," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 17(2), pages 107-118.
    5. Barry, Peter J., 1995. "Industrialization Of U.S. Agriculture: Policy, Research, And Education Needs," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(01), pages 1-8, April.
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