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

  • 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-of-home 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 (facilityIn 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-of-home 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.show moreshow less

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Metadaten
Author:Lukas JaninhoffGND, Robert KleinORCiDGND, Daniela Sailer, Jim Morten Schoppa
URN:urn:nbn:de:bvb:384-opus4-1130746
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/113074
ISSN:0305-0548OPAC
Parent Title (English):Computers & Operations Research
Publisher:Elsevier BV
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/05/21
Volume:168
First Page:106686
DOI:https://doi.org/10.1016/j.cor.2024.106686
Institutes:Wirtschaftswissenschaftliche Fakultät
Wirtschaftswissenschaftliche Fakultät / Institut für Statistik und mathematische Wirtschaftstheorie
Wirtschaftswissenschaftliche Fakultät / Institut für Statistik und mathematische Wirtschaftstheorie / Lehrstuhl für Analytics & Optimization
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)