Out-of-home delivery in last-mile logistics: A review

被引:7
|
作者
Janinhoff, Lukas [1 ]
Klein, Robert [1 ]
Sailer, Daniela [1 ]
Schoppa, Jim Morten [1 ]
机构
[1] Univ Augsburg, Chair Analyt & Optimizat, Univ Str 16, D-86159 Augsburg, Germany
关键词
Last -Mile Delivery; E-Fulfillment; Delivery Options; Vehicle Routing; Location Routing; Facility Location; Parcel Lockers; Out-of-home delivery; VEHICLE-ROUTING PROBLEM; E-COMMERCE DISTRIBUTION; LOCATION; COLLECTION; MANAGEMENT; DEMAND; POINTS; METHODOLOGY; ALGORITHM; NETWORK;
D O I
10.1016/j.cor.2024.106686
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In light of labor shortages, rising fuel costs, and thin profit margins, providers of last-mile delivery services face a mounting pressure to innovate. One avenue to more efficient last-mile operations is the incorporation of out-ofhome delivery (OOHD) services. OOHD, i.e., the delivery to parcel shops and parcel lockers, instead of customers' homes, offers manifold advantages, including the consolidation of customers into a single delivery location and a reduction in the number of failed delivery attempts. In the past five years, the number of scientific publications dealing with optimization problems in the context of OOHD has increased rapidly. In this survey, we assess the various opportunities for optimization in OOHD-based concepts for last mile logistics. Categorizing their manifold aspects, we provide a classification of problem components and point out key challenges. We then present comprehensive overviews of the literature for all three major decision types (facility location, vehicle routing, location routing). Finally, we extensively discuss gaps in the current literature and indicate directions for future research.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Last-mile logistics fulfilment: A framework for energy efficiency
    Halldorsson, Arni
    Wehner, Jessica
    RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2020, 37
  • [32] Split loading policies for rural last-mile logistics
    Ding X.
    Zheng J.
    Gao P.
    Zhao X.
    Lu Y.
    Yu Y.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2019, 25 (09): : 2377 - 2384
  • [33] Augmented Reality could transform last-mile logistics
    Winkel, Jelmer J. H.
    Datcu, Dragos D.
    Buijs, Paul P.
    PROCEEDINGS OF THE 2020 ACM SYMPOSIUM ON SPATIAL USER INTERACTION, SUI 2020, 2020,
  • [34] Courier routing for a new last-mile logistics service
    Zhen, Lu
    Wu, Jingwen
    Wang, Shuaian
    He, Xueting
    Tian, Xin
    IISE TRANSACTIONS, 2024,
  • [35] Simulation-optimisation framework for City Logistics: an application on multimodal last-mile delivery
    Perboli, Guido
    Rosano, Mariangela
    Saint-Guillain, Michael
    Rizzo, Pietro
    IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 12 (04) : 262 - 269
  • [36] Pricing of parcel locker service in urban logistics by a TSP model of last-mile delivery
    Yu, Yaoqin
    Lian, Feng
    Yang, Zhongzhen
    TRANSPORT POLICY, 2021, 114 : 206 - 214
  • [37] Uncertainty analysis of autonomous delivery robot operations for last-mile logistics in European cities
    Lemardele, Clement
    Estrada, Miquel
    Pages, Laia
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2024,
  • [38] A machine learning optimization approach for last-mile delivery and third-party logistics
    Bruni, Maria Elena
    Fadda, Edoardo
    Fedorov, Stanislav
    Perboli, Guido
    COMPUTERS & OPERATIONS RESEARCH, 2023, 157
  • [39] Last-mile logistics in the sharing economy: sustainability paradoxes
    Moncef, Btissam
    Monnet Dupuy, Marlene
    INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2021, 51 (05) : 508 - 527
  • [40] Integrated location and inventory planning in service parts logistics with last-mile delivery outsourcing
    Zhao, Quanwu
    Zuo, Yuxing
    Ai, Limin
    Liu, Hua
    COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 189