Application of integer programming on logistics solution for load transportation: the solver tool and its limitations in the search for the optimal solution

Authors

  • Ricardo França Santos MADE/UNESA
  • Eugênio Correa Souza Junior MADE/UNESA
  • Marco Aurélio Carino Bouzada MADE/UNESA

DOI:

https://doi.org/10.14488/1676-1901.v12i1.866

Keywords:

Pesquisa Operacional, Programação Inteira, Solver, Logística de Distribuição, Otimização de Carga.

Abstract

This work tries to solve a typical logistics problem of Navy of Brazil regards the allocation, transportation and distribution of genera refrigerated for Military Organizations within Grande Rio (RJ). After a brief review of literature on Linear/Integer Programming and some of their applications, we proposed the use of Integer Programming, using the Excel’s Solver as a tool for obtaining the optimal load configuration for the fleet, obtaining the lower distribution costs in order to meet the demand schedule. The assumptions were met in a first attempt with a single spreadsheet, but it could not find a convergent solution, without degeneration problems and with a reasonable solution time. A second solution was proposed separating the problem into three phases, which allowed us to highlight the potential and limitations of the Solver tool. This study showed the importance of formulating a realistic model and of a detailed critical analysis, which could be seen through the lack of convergence of the first solution and the success achieved by the second one.

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Published

2012-01-25

How to Cite

Santos, R. F., Souza Junior, E. C., & Bouzada, M. A. C. (2012). Application of integer programming on logistics solution for load transportation: the solver tool and its limitations in the search for the optimal solution. Revista Produção Online, 12(1), 185–204. https://doi.org/10.14488/1676-1901.v12i1.866

Issue

Section

Papers