An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F23%3A39920997" target="_blank" >RIV/00216275:25510/23:39920997 - isvavai.cz</a>
Result on the web
<a href="https://www.dma-journal.org/index.php/dema/article/view/1" target="_blank" >https://www.dma-journal.org/index.php/dema/article/view/1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.31181/v120231" target="_blank" >10.31181/v120231</a>

Result language
angličtina
Original language name
An Extended AROMAN Method for Cargo Bike Delivery Concept Selection
Original language description
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.
Czech name
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Czech description
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Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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