Skip to content
Back to outputs

Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem

Research output: Contribution to journalArticlepeer-review

Standard

Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem. / Abdullahi, Hassana; Ouelhadj, Djamila; Reyes-Rubiano , Lorena; Faulin, Javier; A. Juan, Angel.

In: European Journal of Operational Research, 23.10.2020.

Research output: Contribution to journalArticlepeer-review

Harvard

Abdullahi, H, Ouelhadj, D, Reyes-Rubiano , L, Faulin, J & A. Juan, A 2020, 'Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem', European Journal of Operational Research.

APA

Abdullahi, H., Ouelhadj, D., Reyes-Rubiano , L., Faulin, J., & A. Juan, A. (Accepted/In press). Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem. European Journal of Operational Research.

Vancouver

Abdullahi H, Ouelhadj D, Reyes-Rubiano L, Faulin J, A. Juan A. Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem. European Journal of Operational Research. 2020 Oct 23.

Author

Abdullahi, Hassana ; Ouelhadj, Djamila ; Reyes-Rubiano , Lorena ; Faulin, Javier ; A. Juan, Angel. / Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem. In: European Journal of Operational Research. 2020.

Bibtex

@article{b7183a18fd794adc8f879f29734d1cb8,
title = "Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem",
abstract = "The transport sector leads to detrimental effects on the economy, environment, and citizens quality of life. During recent years, some key-performance indicators have been proposed to quantify these negative impacts on the economic, environmental, and social dimensions of the sustainability concept. In this paper, we consider the sustainable vehicle routing problem that takes into account the aforementioned dimensions. We propose a multi-objective optimisation model to combine the three dimensions, as well as a biased-randomised iterated greedy algorithm to solve the integrated problem. A comprehensive set of experiments and a sensitivity analysis have been carried out with newly generated instances, which were adapted from existing vehicle routing benchmark instances. The sensitivity analysis is performed to measure the impact of each sustainability dimension and investigate trade-offs among them.",
keywords = "embargoover12",
author = "Hassana Abdullahi and Djamila Ouelhadj and Lorena Reyes-Rubiano and Javier Faulin and {A. Juan}, Angel",
note = "24 month embargo. Elsevier.",
year = "2020",
month = oct,
day = "23",
language = "English",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem

AU - Abdullahi, Hassana

AU - Ouelhadj, Djamila

AU - Reyes-Rubiano , Lorena

AU - Faulin, Javier

AU - A. Juan, Angel

N1 - 24 month embargo. Elsevier.

PY - 2020/10/23

Y1 - 2020/10/23

N2 - The transport sector leads to detrimental effects on the economy, environment, and citizens quality of life. During recent years, some key-performance indicators have been proposed to quantify these negative impacts on the economic, environmental, and social dimensions of the sustainability concept. In this paper, we consider the sustainable vehicle routing problem that takes into account the aforementioned dimensions. We propose a multi-objective optimisation model to combine the three dimensions, as well as a biased-randomised iterated greedy algorithm to solve the integrated problem. A comprehensive set of experiments and a sensitivity analysis have been carried out with newly generated instances, which were adapted from existing vehicle routing benchmark instances. The sensitivity analysis is performed to measure the impact of each sustainability dimension and investigate trade-offs among them.

AB - The transport sector leads to detrimental effects on the economy, environment, and citizens quality of life. During recent years, some key-performance indicators have been proposed to quantify these negative impacts on the economic, environmental, and social dimensions of the sustainability concept. In this paper, we consider the sustainable vehicle routing problem that takes into account the aforementioned dimensions. We propose a multi-objective optimisation model to combine the three dimensions, as well as a biased-randomised iterated greedy algorithm to solve the integrated problem. A comprehensive set of experiments and a sensitivity analysis have been carried out with newly generated instances, which were adapted from existing vehicle routing benchmark instances. The sensitivity analysis is performed to measure the impact of each sustainability dimension and investigate trade-offs among them.

KW - embargoover12

M3 - Article

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

ER -

ID: 23080131