Selecting the Flexible Last-Mile Delivery Models Using Multicriteria Decision-Making

被引:2
|
作者
Blagojevic, Mladenka [1 ]
Sarac, Dragana [2 ]
Mostarac, Katarina [3 ]
机构
[1] Univ Belgrade, Fac Transport & Traff Engn, Belgrade, Serbia
[2] Univ Novi Sad, Fac Tech Sci, Novi Sad, Serbia
[3] Univ Zagreb, Fac Transport & Traff Sci, Zagreb, Croatia
来源
PROMET-TRAFFIC & TRANSPORTATION | 2023年 / 35卷 / 05期
关键词
last-mile delivery; service provider; universal postal service; delivery workers; ranking; PROMETHEE; ARAS;
D O I
10.7307/ptt.v35i5.292
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Postal service providers can reorganise the last-mile delivery process within the scope of universal service and apply some of the flexible models for the organisation of the delivery. In this paper, the question of the selection of Flexible Last-Mile Delivery Models (FLMDMs) is treated using multicriteria decision-making. We have identified four different sustainable last-mile delivery models with an emphasis on the number of delivery workers. One postal service provider from Europe was selected, where the proposed FLMDMs were tested. The proposed last-mile delivery models are ranked using Multiple Criteria Decision Analysis (MCDA) techniques. In this context, MCDA techniques are used to make a comparative as-sessment of alternatives. The obtained results suggest the AB delivery model as the optimal choice for the last-mile delivery and complete allocation of the number of delivery workers.
引用
收藏
页码:635 / 654
页数:20
相关论文
共 50 条
  • [1] Picture Fuzzy Decision-Making Approach for Sustainable Last-Mile Delivery
    Svadlenka, Libor
    Simic, Vladimir
    Dobrodolac, Momcilo
    Lazarevic, Dragan
    Todorovic, Gordana
    IEEE ACCESS, 2020, 8 : 209393 - 209414
  • [2] Towards sustainable last-mile logistics: A decision-making model for complex urban contexts
    Silva, Vasco
    Amaral, Antonio
    Fontes, Tania
    SUSTAINABLE CITIES AND SOCIETY, 2023, 96
  • [3] Crowdkeeping in Last-Mile Delivery
    Wang, Xin
    Arslan, Okan
    Delage, Erick
    TRANSPORTATION SCIENCE, 2024, 58 (02) : 474 - 498
  • [4] Addressing last-mile delivery challenges by using euclidean distance-based aggregation within spherical Fuzzy group decision-making
    Moslem S.
    Pilla F.
    Transportation Engineering, 2023, 14
  • [5] A New FullEX Decision-Making Technique for Criteria Importance Assessment: An Application to the Sustainable Last-Mile Delivery Courier Selection
    Boskovic, Sara
    Svadlenka, Libor
    Jovcic, Stefan
    Dobrodolac, Momcilo
    Simic, Vladimir
    Bacanin, Nebojsa
    IEEE ACCESS, 2023, 11 : 137426 - 137436
  • [6] A decision model for last-mile delivery planning with crowdsourcing integration
    Huang, Kuancheng
    Ardiansyah, Muhammad Nashir
    COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 135 (898-912) : 898 - 912
  • [7] An Analysis on Tradable Permit Models for Last-Mile Delivery Drones
    Verri, Filipe Alves Neto
    Marcondes, Cesar A. C.
    Loubach, Denis S.
    Sbruzzi, Elton F.
    Marques, Johnny Cardoso
    Pereira Junior, Lourenco Alves
    Omena De Albuquerque Maximo, Marcos Ricardo
    Curtis, Vitor Venceslau
    IEEE ACCESS, 2020, 8 : 186279 - 186290
  • [8] Multiple attribute decision-making model for artificially intelligent last-mile delivery robots selection in neutrosophic square root environment
    Palanikumar, Murugan
    Jana, Chiranjibe
    Hezam, Ibrahim M.
    Foul, Abdelaziz
    Simic, Vladimir
    Pamucar, Dragan
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 136
  • [9] Cutting Last-Mile Delivery Costs
    Lim, Stanley Frederick W. T.
    MIT SLOAN MANAGEMENT REVIEW, 2025, 66 (02)
  • [10] Last-mile delivery with drone and lockers
    Boschetti, Marco Antonio
    Novellani, Stefano
    NETWORKS, 2024, 83 (02) : 213 - 235