Benutzer: Gast  Login

Titel:

Matching Drivers and Transportation Requests in Crowdsourced Delivery Systems.

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Soto Setzke, David; Pflügler, Christoph; Schreieck, Maximilian; Fröhlich, Sven; Wiesche, Manuel; Krcmar, Helmut
Nicht-TUM Koautoren:
nein
Kooperation:
-
Abstract:
While the sales volume of e-commerce transactions is growing rapidly, the traditional concept of packages delivery has been challenged by innovative approaches such as crowdsourced delivery. Using individuals, for example commuters, to deliver packages from senders to receivers can provide several economic and environmental benefits. This paper illustrates an algorithm that automates and optimizes the assignment of drivers to transportation requests by matching them based on transportation r...     »
Intellectual Contribution:
Discipline-based Research
Kongress- / Buchtitel:
23rd Americas Conference on Information Systems (AMCIS)
Kongress / Zusatzinformationen:
Boston, USA.
Jahr:
2017
Monat:
Oct
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
commissioned:
not commissioned
Interdisziplinarität:
Ja
Leitbild:
;
Ethics und Sustainability:
Nein
 BibTeX