Stammdaten

Titel: UAV-Based Pickup and Delivery with Different Customers Classes
Beschreibung:

The use of small UAVs for delivery of goods is advantageous when there is a lack of roads, or the delivery time is critical. We consider a scenario where a company offers a delivery service to small shops or private customers. The system is composed of customers, goods, and UAVs. Customers request the delivery of goods from A to B. UAVs fly to A-locations to load goods and deliver them to B-locations. We consider two classes of customers that differ in the willingness to pay an higher price to get a better service, and on their impatience: customers abandon the system after a certain time without receiving any service. The system is modeled as a semi-Markov decision process, which is embedded in each UAV. Our analysis considers two performance metrics: the average price per delivery and the fraction of served customers. These metrics cannot necessarily be jointly optimized. Consequently, we propose a distributed policy for the customers' scheduling to balance the two metrics. In this poster we outline the system model, introduce a policy for the customer scheduling, and provide preliminary results on the performance of the policy at different arrival intensities.

Schlagworte:
Typ: Poster-Präsentation
Homepage: -
Veranstaltung: IEEE International Conference on Robotics & Automation (ICRA) (Seattle)
Datum: 28.05.2015

Beteiligte

Zuordnung

Organisation Adresse
Fakultät für Wirtschaftswissenschaften
 
Institut für Unternehmensführung
 
Abteilung für Controlling und Strategische Unternehmensführung
Universitätsstrasse 67
9020  Klagenfurt
Österreich
   ulrike.kette@aau.at
https://www.aau.at/csu
zur Organisation
Universitätsstrasse 67
AT - 9020  Klagenfurt
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020  Klagenfurt am Wörthersee
Österreich
  -993640
   kornelia.lienbacher@aau.at
http://nes.aau.at/
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 101015 - Operations Research
  • 202035 - Robotik
  • 502017 - Logistik
Forschungscluster
  • Selbstorganisierende Systeme
Vortragsfokus
  • Science to Science (Qualitätsindikator: II)
TeilnehmerInnenkreis
  • Überwiegend international
Publiziert?
  • Nein
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