Department of Economics and Business Economics

Simon Emde

Scheduling electric vehicles and locating charging stations on a path

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

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Scheduling electric vehicles and locating charging stations on a path. / Boysen, Nils; Briskorn, Dirk; Emde, Simon.

In: Journal of Scheduling, Vol. 21, No. 1, 01.02.2018, p. 111-126.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Boysen, N, Briskorn, D & Emde, S 2018, 'Scheduling electric vehicles and locating charging stations on a path', Journal of Scheduling, vol. 21, no. 1, pp. 111-126. https://doi.org/10.1007/s10951-017-0538-9

APA

CBE

MLA

Vancouver

Author

Boysen, Nils ; Briskorn, Dirk ; Emde, Simon. / Scheduling electric vehicles and locating charging stations on a path. In: Journal of Scheduling. 2018 ; Vol. 21, No. 1. pp. 111-126.

Bibtex

@article{39eda50c3fdb45fcb57b64994dd3ba03,
title = "Scheduling electric vehicles and locating charging stations on a path",
abstract = "High hopes are put in electric vehicles to lower global green house gas emissions. From an operational perspective, however, their limited range and the long recharging times add considerable complexity to the decision tasks planning their efficient application. In this context, we treat a problem setting where a single electric vehicle executes transport requests along a straight line, which, for instance, occurs when cranes, automated guided vehicles, or shuttles handle boxes in container terminals. From time to time the vehicle needs to be recharged and, thus, has to visit some charging station also located on the line. We investigate the scheduling of a single electric vehicle, so that the makespan for executing all transport requests is minimized and the vehicle is timely recharged. The solution algorithm developed is then applied to also explore the location planning of charging stations.",
keywords = "Electric vehicles, Green logistics, Location planning, Vehicle scheduling",
author = "Nils Boysen and Dirk Briskorn and Simon Emde",
year = "2018",
month = feb,
day = "1",
doi = "10.1007/s10951-017-0538-9",
language = "English",
volume = "21",
pages = "111--126",
journal = "Journal of Scheduling",
issn = "1094-6136",
publisher = "Springer New York",
number = "1",

}

RIS

TY - JOUR

T1 - Scheduling electric vehicles and locating charging stations on a path

AU - Boysen, Nils

AU - Briskorn, Dirk

AU - Emde, Simon

PY - 2018/2/1

Y1 - 2018/2/1

N2 - High hopes are put in electric vehicles to lower global green house gas emissions. From an operational perspective, however, their limited range and the long recharging times add considerable complexity to the decision tasks planning their efficient application. In this context, we treat a problem setting where a single electric vehicle executes transport requests along a straight line, which, for instance, occurs when cranes, automated guided vehicles, or shuttles handle boxes in container terminals. From time to time the vehicle needs to be recharged and, thus, has to visit some charging station also located on the line. We investigate the scheduling of a single electric vehicle, so that the makespan for executing all transport requests is minimized and the vehicle is timely recharged. The solution algorithm developed is then applied to also explore the location planning of charging stations.

AB - High hopes are put in electric vehicles to lower global green house gas emissions. From an operational perspective, however, their limited range and the long recharging times add considerable complexity to the decision tasks planning their efficient application. In this context, we treat a problem setting where a single electric vehicle executes transport requests along a straight line, which, for instance, occurs when cranes, automated guided vehicles, or shuttles handle boxes in container terminals. From time to time the vehicle needs to be recharged and, thus, has to visit some charging station also located on the line. We investigate the scheduling of a single electric vehicle, so that the makespan for executing all transport requests is minimized and the vehicle is timely recharged. The solution algorithm developed is then applied to also explore the location planning of charging stations.

KW - Electric vehicles

KW - Green logistics

KW - Location planning

KW - Vehicle scheduling

UR - http://www.scopus.com/inward/record.url?scp=85028337010&partnerID=8YFLogxK

U2 - 10.1007/s10951-017-0538-9

DO - 10.1007/s10951-017-0538-9

M3 - Journal article

AN - SCOPUS:85028337010

VL - 21

SP - 111

EP - 126

JO - Journal of Scheduling

JF - Journal of Scheduling

SN - 1094-6136

IS - 1

ER -