A New FullEX Decision-Making Technique for Criteria Importance Assessment: An Application to the Sustainable Last-Mile Delivery Courier Selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F23%3A39920789" target="_blank" >RIV/00216275:25510/23:39920789 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10343101" target="_blank" >https://ieeexplore.ieee.org/document/10343101</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2023.3339580" target="_blank" >10.1109/ACCESS.2023.3339580</a>
Alternative languages
Result language
angličtina
Original language name
A New FullEX Decision-Making Technique for Criteria Importance Assessment: An Application to the Sustainable Last-Mile Delivery Courier Selection
Original language description
Last-Mile Delivery (LMD) phase is essential in city logistics. However, it presents challenges due to the increasing number of vehicles and negative transportation effects. Sustainable city development requires smart LMD courier selection based on various criteria. This paper introduces a new subjective technique, called FullEX, for the criteria importance assessment. FullEX incorporates experts' opinions and their influence on the final decision, considering their reputation determined by education degree and experience. The application of FullEX focuses on assessing the importance of criteria for LMD courier selection. Such criteria are delivery service cost, on-time delivery, air and noise pollution, brand, and safety. Five experts participate in the evaluation procedure. However, this number can be adjusted depending on a certain problem. The FullEX method ranks on-time delivery as the most important criterion for sustainable LMD courier selection. In addition, the comparative analysis with the Best-Worst Method (BWM) confirms the results obtained by the FullEX method. Nevertheless, the sensitivity analyses demonstrate the stability of the FullEX and justify its introduction. Measuring the consistency index of the experts’ judgment has also the advantage of this method. This proposed criterion weighting method is versatile, user-friendly, and applicable to any MCDM problem involving expert opinions on criteria.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/CK01000032" target="_blank" >CK01000032: Smart City Logistics as a Response to Current E-Commerce Trends and Sustainable Urban Mobility Planning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE ACCESS
ISSN
2169-3536
e-ISSN
2169-3536
Volume of the periodical
11
Issue of the periodical within the volume
12 December 2023
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
"137426 "- 137436
UT code for WoS article
001123879000001
EID of the result in the Scopus database
2-s2.0-85179812752