Minimizing freight costs in the cleaning distribution by linear programming

Authors

  • Igor Pereira da Silva Faculdade de Tecnologia de Guarulhos
  • Nemesio Rodrigues Capocci Faculdade de Tecnologia de Guarulhos
  • Valdir Cardoso Gonçalves Faculdade de Tecnologia de Guarulhos
  • Marcos José Corrêa Bueno Faculdade de Tecnologia de Guarulhos
  • Marcos Antonio Maia de Oliveira Faculdade de Tecnologia de Guarulhos

DOI:

https://doi.org/10.22567/rep.v7i1.458

Keywords:

Minimization, Distribution, Programming, Linear.

Abstract

The present study aimed to demonstrate the reduction of cement distribution costs through linear programming. This is a case study on the application of quantitative methods with Network Diagram to determine the optimal route to be performed, corresponding to the lowest freight cost possible for the distribution of cement bags of 50 kg of 2 CD's - distributions to 6 stores in the metropolitan region of São Paulo from a retailer of construction materials. For comparison purposes, the Vogel approximation method was used to identify the most appropriate method for this type of situation. The results showed optimization of the cement distribution in terms of costs. The relevance of this analysis is the possible use by companies that face this same situation in network distribution.

Author Biographies

Igor Pereira da Silva, Faculdade de Tecnologia de Guarulhos

Graduando em Logística

Nemesio Rodrigues Capocci, Faculdade de Tecnologia de Guarulhos

Graduado em Logística

Valdir Cardoso Gonçalves, Faculdade de Tecnologia de Guarulhos

Graduado em Logística

Marcos José Corrêa Bueno, Faculdade de Tecnologia de Guarulhos

Mestrado em Engenharia de Produção

Marcos Antonio Maia de Oliveira, Faculdade de Tecnologia de Guarulhos

Doutorado em Administração

Published

2018-01-28

How to Cite

da Silva, I. P., Capocci, N. R., Gonçalves, V. C., Bueno, M. J. C., & de Oliveira, M. A. M. (2018). Minimizing freight costs in the cleaning distribution by linear programming. Revista Eniac Pesquisa, 7(1), 97–108. https://doi.org/10.22567/rep.v7i1.458

Issue

Section

Artigos