A Literature Review of Mathematical Programming Applications in the Fresh Agri-Food Supply Chain

  • Helio Yochihiro FuchigamiEmail author
  • Maico Roris Severino
  • Lie Yamanaka
  • Meire Ramalho de Oliveira
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 281)


This work presents a literature review of mixed integer programming (MIP) applications in the fresh agri-food supply chain (ASC). The agricultural products attract great attention because it is an issue related to public health, subject to strict regulations and inspections. Due to the strong need to increase the efficiency of the supply chain, the planning models have become of increasing importance to producers and companies. Among the concerns of ASC problems, perishability is very critical for horticultural products, whose shelf life is significantly lower than of traditional crops, like grains and other vegetables. This research comes up first with a tertiary study of ASC publications, i.e., a review of reviews to investigate the core themes that have been studied. Thus, a secondary study on the primary literature was conducted. The use of mathematical models for applications in crop planning can be found since the early 1950 years, even in a tenuous way, but it became more widespread during the decade of 1980, with growing interest in the 1990s. In particular, the perishability of fresh products and risk management are two themes which have gained importance and visibility among recent research and publications, highlighting the relevance of the present study.


Agri-food supply chain Fresh food delivery Mixed integer programming 



This work was supported by Newton Fund (British Council), CNPq (National Council of Technological and Scientific Development, Brazil) and FAPEG (Goias State Research Foundation, Brazil).


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Federal University of Goias (UFG)Aparecida de GoianiaBrazil

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