Multi-objective green mixed vehicle routing problem under rough environment

    Joydeep Dutta Info
    Partha Sarathi Barma Info
    Anupam Mukherjee Info
    Samarjit Kar Info
    Tanmay De Info
    Dragan Pamučar Info
    Šarūnas Šukevičius Info
    Giedrius Garbinčius Info
DOI: https://doi.org/10.3846/transport.2021.14464

Abstract

This paper proposes a multi-objective Green Vehicle Routing Problem (G-VRP) considering two types of vehicles likely company-owned vehicle and third-party logistics in the imprecise environment. Focusing only on one objective, especially the distance in the VRP is not always right in the sustainability point of view. Here we present a bi-objective model for the G-VRP that can address the issue of the emission of GreenHouse Gases (GHGs). We also consider the demand as a rough variable. This paper uses the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to solve the proposed model. Finally, it uses Multicriteria Optimization and Compromise Solution (abbreviation in Serbian – VIKOR) method to determine the best alternative from the Pareto front.

First published online 25 February 2021

Keywords:

green VRP, multi-objective VRP, evolutionary methods, NSGA-II, VIKOR, sustainability

How to Cite

Dutta, J., Barma, P. S., Mukherjee, A., Kar, S., De, T., Pamučar, D., Šukevičius, Šarūnas, & Garbinčius, G. (2022). Multi-objective green mixed vehicle routing problem under rough environment. Transport, 37(1), 51–63. https://doi.org/10.3846/transport.2021.14464

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May 24, 2022
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2022-05-24

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How to Cite

Dutta, J., Barma, P. S., Mukherjee, A., Kar, S., De, T., Pamučar, D., Šukevičius, Šarūnas, & Garbinčius, G. (2022). Multi-objective green mixed vehicle routing problem under rough environment. Transport, 37(1), 51–63. https://doi.org/10.3846/transport.2021.14464

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