An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

Sara Bošković; Libor Švadlenka; Momčilo Dobrodolac; Stefan Jovčić; Marina Zanne

doi:10.31181/v120231

Authors

Sara Bošković Faculty of Transport Engineering, University of Pardubice, Pardubice, Czech Republic https://orcid.org/0000-0002-0331-4262
Libor Švadlenka Faculty of Transport Engineering, University of Pardubice, Pardubice, Czech Republic https://orcid.org/0000-0001-6484-6660
Momčilo Dobrodolac University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia https://orcid.org/0000-0001-8112-8329
Stefan Jovčić Faculty of Transport Engineering, University of Pardubice, Pardubice, Czech Republic
Marina Zanne Faculty of Maritime Studies and Transport, University of Ljubljana, Portorose, Slovenia https://orcid.org/0000-0001-7288-670X

DOI:

https://doi.org/10.31181/v120231

Keywords:

AROMAN; MCDM; Cargo Bikes; Last-Mile Delivery

Abstract

Nowadays, cargo bikes play a vital role in the last-mile delivery process. Parcel distribution by cargo bikes becomes a more accessible and ecologically friendly solution. This paper addresses the investment decision on the cargo bike delivery concept selection problem. We investigated a better solution in terms of whether the company needs to perform the delivery by investing in its fleet of cargo bikes or renting cargo bikes from a third party. The third solution is to combine those two alternatives. This case considers four criteria: cargo bike procurement cost, cargo bike maintenance cost, return on investment, and financial profitability. To solve this problem, we applied the extended alternative ranking order method accounting two-step normalization (AROMAN) method. The results compared with the MARCOS and ARAS methods confirmed that delivery concept 2 (i.e. renting cargo bikes from third-party providers) represented the best solution for the e-commerce company.

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References

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An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

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