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Fuzzy optimization for distribution of frozen food with imprecise times

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Abstract

Problems concerning the distribution routes for frozen products need to incorporate constraints that avoid breaks in the cold chain. The decision making process under uncertain environments is a common one in real logistics problems. The purpose of this study is to apply a fuzzy approach which will provide an optimal solution to the distribution of frozen food with uncertainty in its time values. A soft computing approach is used where fuzzy constraints are included in the modeling and the solution of the problem.

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Authors and Affiliations

  1. Instituto Universitario de Desarrollo Regional, Universidad de La Laguna, Tenerife, Spain

    J. Brito, F. J. Martinez & J. A. Moreno

  2. Dept. CC. de la Computación e Inteligencia Artificial, Universidad de Granada, Granada, Spain

    J. L. Verdegay

Authors
  1. J. Brito
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  2. F. J. Martinez
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  3. J. A. Moreno
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  4. J. L. Verdegay
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Correspondence to J. Brito.

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Brito, J., Martinez, F.J., Moreno, J.A. et al. Fuzzy optimization for distribution of frozen food with imprecise times. Fuzzy Optim Decis Making 11, 337–349 (2012). https://doi.org/10.1007/s10700-012-9131-z

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  • DOI: https://doi.org/10.1007/s10700-012-9131-z

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