Titel: An Optimization Approach to the Ordering Phase of an Attended Home Delivery Service

Attended Home Delivery (AHD) systems are used whenever a supplying company offers online shopping services that require that customers must be present when their deliveries arrive. Therefore, the supplying company and the customer must both agree on a time window, which ideally is rather short, during which delivery is guaranteed. Typically, a capacitated Vehicle Routing Problem with Time Windows forms the underlying optimization problem of the AHD system. In this work, we consider an AHD system that runs the online grocery shopping service of an international grocery retailer. The ordering phase, during which customers place their orders through the web service, is the computationally most challenging part of the AHD system. The delivery schedule must be built dynamically as new orders are placed. We propose a solution approach that allows to (non-stochastically) determine which delivery time windows can be offered to potential customers. We split the computations of the ordering phase into four key steps. For performing these basic steps we suggest both a heuristic approach and a hybrid approach employing mixed-integer linear programs. In an experimental evaluation we demonstrate the efficiency of our approaches.

Schlagworte: Attended home delivery, Capacitated vehicle routing with time windows, Heuristics
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Art der Veröffentlichung Printversion
Erschienen in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
zur Publikation
 ( Springer; L. Rousseau, K. Stergiou )
Erscheinungsdatum: 28.04.2019
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Seite: S. 208 - 224


  • 978-3-030-19211-2
ISSN: 1611-3349
AC-Nummer: -
Open Access
  • Online verfügbar (Open Access)


Organisation Adresse
Universität Klagenfurt
Karl Popper Kolleg (Doktorats- und Wissenschaftskolleg)
Universitätsstr. 65-67
A-9020 Klagenfurt
zur Organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt
Fakultät für Technische Wissenschaften
Institut für Mathematik
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee


  • 101015 - Operations Research
  • 101016 - Optimierung
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
  • Diskrete Mathematik und Optimierung


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