Joint relocation and pricing in electric car-sharing systems

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Standard

Joint relocation and pricing in electric car-sharing systems. / Eilertsen, Ulrik; Falck-pedersen, Olav M.; Henriksen, Jone V.; Fagerholt, Kjetil; Pantuso, Giovanni.

I: European Journal of Operational Research, Bind 315, Nr. 2, 2024, s. 553-566.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Eilertsen, U, Falck-pedersen, OM, Henriksen, JV, Fagerholt, K & Pantuso, G 2024, 'Joint relocation and pricing in electric car-sharing systems', European Journal of Operational Research, bind 315, nr. 2, s. 553-566. https://doi.org/10.1016/j.ejor.2023.12.001

APA

Eilertsen, U., Falck-pedersen, O. M., Henriksen, J. V., Fagerholt, K., & Pantuso, G. (2024). Joint relocation and pricing in electric car-sharing systems. European Journal of Operational Research, 315(2), 553-566. https://doi.org/10.1016/j.ejor.2023.12.001

Vancouver

Eilertsen U, Falck-pedersen OM, Henriksen JV, Fagerholt K, Pantuso G. Joint relocation and pricing in electric car-sharing systems. European Journal of Operational Research. 2024;315(2):553-566. https://doi.org/10.1016/j.ejor.2023.12.001

Author

Eilertsen, Ulrik ; Falck-pedersen, Olav M. ; Henriksen, Jone V. ; Fagerholt, Kjetil ; Pantuso, Giovanni. / Joint relocation and pricing in electric car-sharing systems. I: European Journal of Operational Research. 2024 ; Bind 315, Nr. 2. s. 553-566.

Bibtex

@article{a86da7adf9fb4c8b8efd55e545e014ac,
title = "Joint relocation and pricing in electric car-sharing systems",
abstract = "In this paper we study the integrated planning problem of determining car-sharing prices between zones of the operating area and routing employees (operators) to relocate cars in preparation for future uncertain demand. We present a novel two-stage integer stochastic programming model for this problem together with a heuristic algorithm, based on Adaptive Large Neighborhood Search (ALNS), to obtain solutions to realistically sized instances. We test the ALNS heuristic on a set of instances generated based on data from a real car-sharing organization and show that it outperforms a commercial solver. {\textcopyright} 2023 The Authors",
author = "Ulrik Eilertsen and Falck-pedersen, {Olav M.} and Henriksen, {Jone V.} and Kjetil Fagerholt and Giovanni Pantuso",
year = "2024",
doi = "10.1016/j.ejor.2023.12.001",
language = "English",
volume = "315",
pages = "553--566",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - Joint relocation and pricing in electric car-sharing systems

AU - Eilertsen, Ulrik

AU - Falck-pedersen, Olav M.

AU - Henriksen, Jone V.

AU - Fagerholt, Kjetil

AU - Pantuso, Giovanni

PY - 2024

Y1 - 2024

N2 - In this paper we study the integrated planning problem of determining car-sharing prices between zones of the operating area and routing employees (operators) to relocate cars in preparation for future uncertain demand. We present a novel two-stage integer stochastic programming model for this problem together with a heuristic algorithm, based on Adaptive Large Neighborhood Search (ALNS), to obtain solutions to realistically sized instances. We test the ALNS heuristic on a set of instances generated based on data from a real car-sharing organization and show that it outperforms a commercial solver. © 2023 The Authors

AB - In this paper we study the integrated planning problem of determining car-sharing prices between zones of the operating area and routing employees (operators) to relocate cars in preparation for future uncertain demand. We present a novel two-stage integer stochastic programming model for this problem together with a heuristic algorithm, based on Adaptive Large Neighborhood Search (ALNS), to obtain solutions to realistically sized instances. We test the ALNS heuristic on a set of instances generated based on data from a real car-sharing organization and show that it outperforms a commercial solver. © 2023 The Authors

U2 - 10.1016/j.ejor.2023.12.001

DO - 10.1016/j.ejor.2023.12.001

M3 - Journal article

VL - 315

SP - 553

EP - 566

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 2

ER -

ID: 380360394