Simulation Approach for Container Assignment Under Uncertainty

Wouter J. de Koning; Frank Phillipson; Irina Chiscop

doi:10.1007/978-3-030-59747-4_40

Simulation Approach for Container Assignment Under Uncertainty

Wouter J. de Koning, Frank Phillipson^*, Irina Chiscop

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

In this paper an online optimisation approach is proposed which can be used to find an appropriate combined schedule and container assignment in a Network Design Problem under uncertainty. For this, a simulation based approach on a multi-period time window is proposed, moving forward on the time window after each decision made, assuming that the status of the system is updated as soon as the stochastic and unknown elements become deterministic and known. This approach provides new insight and knowledge into synchromodal and multimodal planning problems. The results of the approach are compared to the results of three simpler online optimisation methods and to the solution of the offline approach where all information is known.

Original language	English
Title of host publication	Computational Logistics - 11th International Conference, ICCL 2020, Proceedings
Editors	Eduardo Lalla-Ruiz, Martijn Mes, Stefan Voß
Publisher	Springer
Pages	616-630
ISBN (Print)	9783030597467
DOIs	https://doi.org/10.1007/978-3-030-59747-4_40
Publication status	Published - 2020
Externally published	Yes
Event	11th International Conference on Computational Logistics, ICCL 2020 - Enschede, Netherlands Duration: 28 Sept 2020 → 30 Sept 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12433 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Computational Logistics, ICCL 2020
Country/Territory	Netherlands
City	Enschede
Period	28/09/20 → 30/09/20

Keywords

Intermodal transport
Multiperiod time window
Online optimisation
Simulation algorithm
Synchromodal transport

Access to Document

10.1007/978-3-030-59747-4_40

Cite this

de Koning, W. J., Phillipson, F., & Chiscop, I. (2020). Simulation Approach for Container Assignment Under Uncertainty. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (pp. 616-630). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433 LNCS). Springer. https://doi.org/10.1007/978-3-030-59747-4_40

de Koning, Wouter J. ; Phillipson, Frank ; Chiscop, Irina. / Simulation Approach for Container Assignment Under Uncertainty. Computational Logistics - 11th International Conference, ICCL 2020, Proceedings. editor / Eduardo Lalla-Ruiz ; Martijn Mes ; Stefan Voß. Springer, 2020. pp. 616-630 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{ce7393932a034706b191a975b0840872,

title = "Simulation Approach for Container Assignment Under Uncertainty",

abstract = "In this paper an online optimisation approach is proposed which can be used to find an appropriate combined schedule and container assignment in a Network Design Problem under uncertainty. For this, a simulation based approach on a multi-period time window is proposed, moving forward on the time window after each decision made, assuming that the status of the system is updated as soon as the stochastic and unknown elements become deterministic and known. This approach provides new insight and knowledge into synchromodal and multimodal planning problems. The results of the approach are compared to the results of three simpler online optimisation methods and to the solution of the offline approach where all information is known.",

keywords = "Intermodal transport, Multiperiod time window, Online optimisation, Simulation algorithm, Synchromodal transport",

author = "{de Koning}, {Wouter J.} and Frank Phillipson and Irina Chiscop",

year = "2020",

doi = "10.1007/978-3-030-59747-4_40",

language = "English",

isbn = "9783030597467",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "616--630",

editor = "Eduardo Lalla-Ruiz and Martijn Mes and Stefan Vo{\ss}",

booktitle = "Computational Logistics - 11th International Conference, ICCL 2020, Proceedings",

note = "11th International Conference on Computational Logistics, ICCL 2020 ; Conference date: 28-09-2020 Through 30-09-2020",

}

de Koning, WJ, Phillipson, F & Chiscop, I 2020, Simulation Approach for Container Assignment Under Uncertainty. in E Lalla-Ruiz, M Mes & S Voß (eds), Computational Logistics - 11th International Conference, ICCL 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12433 LNCS, Springer, pp. 616-630, 11th International Conference on Computational Logistics, ICCL 2020, Enschede, Netherlands, 28/09/20. https://doi.org/10.1007/978-3-030-59747-4_40

Simulation Approach for Container Assignment Under Uncertainty. / de Koning, Wouter J.; Phillipson, Frank; Chiscop, Irina.
Computational Logistics - 11th International Conference, ICCL 2020, Proceedings. ed. / Eduardo Lalla-Ruiz; Martijn Mes; Stefan Voß. Springer, 2020. p. 616-630 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433 LNCS).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Simulation Approach for Container Assignment Under Uncertainty

AU - de Koning, Wouter J.

AU - Phillipson, Frank

AU - Chiscop, Irina

PY - 2020

Y1 - 2020

N2 - In this paper an online optimisation approach is proposed which can be used to find an appropriate combined schedule and container assignment in a Network Design Problem under uncertainty. For this, a simulation based approach on a multi-period time window is proposed, moving forward on the time window after each decision made, assuming that the status of the system is updated as soon as the stochastic and unknown elements become deterministic and known. This approach provides new insight and knowledge into synchromodal and multimodal planning problems. The results of the approach are compared to the results of three simpler online optimisation methods and to the solution of the offline approach where all information is known.

AB - In this paper an online optimisation approach is proposed which can be used to find an appropriate combined schedule and container assignment in a Network Design Problem under uncertainty. For this, a simulation based approach on a multi-period time window is proposed, moving forward on the time window after each decision made, assuming that the status of the system is updated as soon as the stochastic and unknown elements become deterministic and known. This approach provides new insight and knowledge into synchromodal and multimodal planning problems. The results of the approach are compared to the results of three simpler online optimisation methods and to the solution of the offline approach where all information is known.

KW - Intermodal transport

KW - Multiperiod time window

KW - Online optimisation

KW - Simulation algorithm

KW - Synchromodal transport

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U2 - 10.1007/978-3-030-59747-4_40

DO - 10.1007/978-3-030-59747-4_40

M3 - Conference contribution

AN - SCOPUS:85092220317

SN - 9783030597467

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 616

EP - 630

BT - Computational Logistics - 11th International Conference, ICCL 2020, Proceedings

A2 - Lalla-Ruiz, Eduardo

A2 - Mes, Martijn

A2 - Voß, Stefan

PB - Springer

T2 - 11th International Conference on Computational Logistics, ICCL 2020

Y2 - 28 September 2020 through 30 September 2020

ER -

de Koning WJ, Phillipson F, Chiscop I. Simulation Approach for Container Assignment Under Uncertainty. In Lalla-Ruiz E, Mes M, Voß S, editors, Computational Logistics - 11th International Conference, ICCL 2020, Proceedings. Springer. 2020. p. 616-630. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-59747-4_40

Simulation Approach for Container Assignment Under Uncertainty

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