Artikel

Advanced loading constraints for 3D vehicle routing problems

Given automated order systems, detailed characteristics of items and vehicles enable the detailed planning of deliveries including more efficient and safer loading of distribution vehicles. Many vehicle routing approaches ignore complex loading constraints. This paper focuses on the comprehensive evaluation of loading constraints in the context of combined Capacitated Vehicle Routing Problem and 3D Loading (3L-CVRP) and its extension with time windows (3L-VRPTW). To the best of our knowledge, this paper considers the currently largest number of loading constraints meeting real-world requirements and reducing unnecessary loading efforts for both problem variants. We introduce an approach for the load bearing strength of items ensuring a realistic load distribution between items. Moreover, we provide a new variant for the robust stability constraint enabling better performance and higher stability. In addition, we consider axle weights of vehicles to prevent overloaded axles for the first time for the 3L-VRPTW. Additionally, the reachability of items, balanced loading and manual unloading of items are taken into account. All loading constraints are implemented in a deepest-bottom-left-fill algorithm, which is embedded in an outer adaptive large neighbourhood search tackling the Vehicle Routing Problem. A new set of 600 instances is created, published and used to evaluate all loading constraints in terms of solution quality and performance. The efficiency of the hybrid algorithm is evaluated by three well-known instance sets. We outperform the benchmarks for most instance sets from the literature. Detailed results and the implementation of loading constraints are published online.

Sprache
Englisch

Erschienen in
Journal: OR Spectrum ; ISSN: 1436-6304 ; Volume: 43 ; Year: 2021 ; Issue: 4 ; Pages: 835-875 ; Berlin, Heidelberg: Springer

Klassifikation
Management
Thema
3L-CVRP
3L-VRPTW
Loading constraints
Load bearing strength
Stability

Ereignis
Geistige Schöpfung
(wer)
Krebs, Corinna
Ehmke, Jan Fabian
Koch, Henriette
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Berlin, Heidelberg
(wann)
2021

DOI
doi:10.1007/s00291-021-00645-w
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Krebs, Corinna
  • Ehmke, Jan Fabian
  • Koch, Henriette
  • Springer

Entstanden

  • 2021

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