Publikation: An Optimization Approach to the Orderin...
Stammdaten
Titel: | An Optimization Approach to the Ordering Phase of an Attended Home Delivery Service |
Untertitel: | |
Kurzfassung: | 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) |
Erscheinungsdatum: | 28.04.2019 (Print) |
Erschienen in: |
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
(
Springer;
L. Rousseau, K. Stergiou
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 208 - 224 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.1007/978-3-030-19212-9 |
Homepage: | - |
Open Access |
|
Erscheinungsdatum: | 28.04.2019 |
ISBN: |
|
ISSN: | 1611-3349 |
Homepage: | https://link.springer.com/book/10.1007/978-3-030-19212-9#about |
AutorInnen
Günther Cwioro (intern) |
Philipp Hungerländer (intern) |
Kerstin Maier (intern) |
Jörg Pöcher (extern) |
Christian Truden (intern) |
Zuordnung
Organisation | Adresse | ||||
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Universität Klagenfurt
Karl Popper Kolleg (Doktorats- und Wissenschaftskolleg)
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AT - A-9020 Klagenfurt |
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Fakultät für Technische Wissenschaften
Institut für Mathematik
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AT - 9020 Klagenfurt am Wörthersee |
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Peer Reviewed |
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