Multi-objective pollution location-routing problem for improvement of a banking cash distribution network: A case study

Document Type : Research Paper

Authors

1 Ph.D. Student, Department of Industrial Engineering, College of Alborz, University of Tehran, Tehran, Iran

2 Professor, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

3 Associate Professor, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract

One of the key processes in the banking system, is cash distribution from Treasury Branches and ATMs in the city. Treasury location, fleet, routes, geographical distribution of branches and ATMs, the distribution of money demand, customer satisfaction, are some of the influential factors in optimizing the money transfer process. Furthermore, today’s environmental issues, especially the issue of greenhouse gas (GHG) emissions, have been concentrated. In this paper, a new model of the location-routing vehicles for a bank cash distribution network is developed, in which three objectives of reducing GHG emissions, reducing costs of location-routing, and increasing customer satisfaction are considered simultaneously. Regarding to the difficulty of finding optimal solutions in such integrated models of location-routing problems, a multi-objective genetic algorithm-based on Prometheus methods are proposed. The obtained results are compared with the non-dominated sorting genetic algorithm (NSGA-II) and multi-objective imperialist algorithm (MOICA). The comparison of these results shows the performance of the proposed algorithm for the given problems.

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References

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Quarterly Journal of Transportation Engineering
Volume 13, Issue 3 - Serial Number 52
March 2022
Pages 1586-1559

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History

  • Receive Date: 13 February 2020
  • Revise Date: 15 October 2021
  • Accept Date: 16 October 2021

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