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A New FullEX Decision-Making Technique for Criteria Importance Assessment: An Application to the Sustainable Last-Mile Delivery Courier Selection

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A New FullEX Decision-Making Technique for Criteria Importance Assessment: An Application to the Sustainable Last-Mile Delivery Courier Selection

  • Popis výsledku v původním jazyce

    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&apos; 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.

  • Název v anglickém jazyce

    A New FullEX Decision-Making Technique for Criteria Importance Assessment: An Application to the Sustainable Last-Mile Delivery Courier Selection

  • Popis výsledku anglicky

    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&apos; 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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10102 - Applied mathematics

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/CK01000032" target="_blank" >CK01000032: Smart city logistika v kontextu e-commerce a plánů udržitelné městské mobility</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    IEEE ACCESS

  • ISSN

    2169-3536

  • e-ISSN

    2169-3536

  • Svazek periodika

    11

  • Číslo periodika v rámci svazku

    12 December 2023

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    11

  • Strana od-do

    "137426 "- 137436

  • Kód UT WoS článku

    001123879000001

  • EID výsledku v databázi Scopus

    2-s2.0-85179812752