TUdatalib : The impact of clustered, dynamic and stochastic estimated time of arrival forecasts on the pre-and post-haulage of intermodal transport

dc.contributor.author	Rentschler, Johannes
dc.date.accessioned	2024-04-02T11:58:53Z
dc.date.available	2024-04-02T11:58:53Z
dc.date.issued	2024-04-02
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4199
dc.identifier.uri	https://doi.org/10.48328/tudatalib-1403
dc.description	This data set contains the problem instances for the dynamic and stochastic Pick-up and Delivery Problem with Time Windows and clustered release dates (PDPTW-crd) from the working paper "The impact of clustered, dynamic and stochastic estimated time of arrival forecasts on the pre-and post-haulage of intermodal transport – a simulation study".	de_DE
dc.rights	Creative Commons Attribution 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject.classification	1.24-05 Operations Management und BWL-spezifische Wirtschaftsinformatik	de_DE
dc.subject.classification	4.41-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehr	de_DE
dc.subject.ddc	650
dc.subject.ddc	380
dc.title	The impact of clustered, dynamic and stochastic estimated time of arrival forecasts on the pre-and post-haulage of intermodal transport - Problem instances	de_DE
dc.type	Dataset	de_DE
tud.unit	TUDa
tud.history.classification	Version=2020-2024;112-03 Betriebswirtschaftslehre
tud.history.classification	Version=2020-2024;407-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehr

Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Creative Commons Attribution 4.0

The impact of clustered, dynamic and stochastic estimated time of arrival forecasts on the pre-and post-haulage of intermodal transport - Problem instances