SciELO - Scientific Electronic Library Online

 
vol.86 número208Optimal joint RAN selection and resource allocation strategy in HetNet under Co-channel and user centric deploymentTowards the reduction of the effects of muscle fatigue on myoelectric control of upper limb prostheses índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


DYNA

versão impressa ISSN 0012-7353

Resumo

GRANILLO-MACIAS, Rafael et al. Hybrid model to design a distribution network in contract farming. Dyna rev.fac.nac.minas [online]. 2019, vol.86, n.208, pp.102-109. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v86n208.72056.

This paper suggests a hybrid model to solve a distribution problem incorporating the impact of uncertainty in the solution. The model combines the deterministic approach and the simulation including stochastic variables such as harvest yield, loss risk and penalties/benefits to design a distribution network with the minimal cost. Through a case study that includes farmers, hubs and malt producers in the supplying chain of barley in Mexico, nine possible scenarios were analyzed to plan and distribute the harvested grain based on contract farming. This approach gets an optimal solution through an iterative process simulating the suggested solution by a mixed-integer linear programming model under uncertain conditions. The results show the convenience of maintaining the operation between four and five hubs depending on the possible scenario; besides, the variation of the levels of the barley producers’ capacities are key elements in the planning to minimize the distribution cost throughout the suggested chain

Palavras-chave : agriculture; logistic; optimization; simulation.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )