Simulation-Optimization Approach for Integrated Scheduling at Wharf Apron in Container Terminals

Mengyu Zhu; Chenhao Zhou; Ada Che

doi:10.1109/WSC57314.2022.10015248

Simulation-Optimization Approach for Integrated Scheduling at Wharf Apron in Container Terminals

Mengyu Zhu
, Chenhao Zhou
, Ada Che

School of Management

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

As the bridge between land and sea transports, container terminals play a significant role in global trading activities. In order to improve the operational efficiency at the wharf apron, this paper introduced an integrated scheduling problem with the consideration of vehicle dispatching and routing, and developed a time-space network based on takt time. Given the highly uncertain nature of vehicle movement and equipment handshakes, a simulation-optimization approach was developed, which integrates an improved particle swarm optimization and a discrete event simulation model. To further reduce simulation run time, parallel computing was adopted in the algorithm. Numerical experiment shows that the proposed algorithm outperforms the genetic algorithm-based and strategy-based simulation-optimization approach.

Original language	English
Title of host publication	Proceedings of the 2022 Winter Simulation Conference, WSC 2022
Editors	B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C.G. Corlu, L.H. Lee, E.P. Chew, T. Roeder, P. Lendermann
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1944-1955
Number of pages	12
ISBN (Electronic)	9798350309713
DOIs	https://doi.org/10.1109/WSC57314.2022.10015248
State	Published - 2022
Event	2022 Winter Simulation Conference, WSC 2022 - Guilin, China Duration: 11 Dec 2022 → 14 Dec 2022

Publication series

Name	Proceedings - Winter Simulation Conference
Volume	2022-December
ISSN (Print)	0891-7736

Conference

Conference	2022 Winter Simulation Conference, WSC 2022
Country/Territory	China
City	Guilin
Period	11/12/22 → 14/12/22

Access to Document

10.1109/WSC57314.2022.10015248

Cite this

Zhu, M., Zhou, C., & Che, A. (2022). Simulation-Optimization Approach for Integrated Scheduling at Wharf Apron in Container Terminals. In B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C. G. Corlu, L. H. Lee, E. P. Chew, T. Roeder, & P. Lendermann (Eds.), Proceedings of the 2022 Winter Simulation Conference, WSC 2022 (pp. 1944-1955). (Proceedings - Winter Simulation Conference; Vol. 2022-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC57314.2022.10015248

Zhu, Mengyu ; Zhou, Chenhao ; Che, Ada. / Simulation-Optimization Approach for Integrated Scheduling at Wharf Apron in Container Terminals. Proceedings of the 2022 Winter Simulation Conference, WSC 2022. editor / B. Feng ; G. Pedrielli ; Y. Peng ; S. Shashaani ; E. Song ; C.G. Corlu ; L.H. Lee ; E.P. Chew ; T. Roeder ; P. Lendermann. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1944-1955 (Proceedings - Winter Simulation Conference).

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title = "Simulation-Optimization Approach for Integrated Scheduling at Wharf Apron in Container Terminals",

abstract = "As the bridge between land and sea transports, container terminals play a significant role in global trading activities. In order to improve the operational efficiency at the wharf apron, this paper introduced an integrated scheduling problem with the consideration of vehicle dispatching and routing, and developed a time-space network based on takt time. Given the highly uncertain nature of vehicle movement and equipment handshakes, a simulation-optimization approach was developed, which integrates an improved particle swarm optimization and a discrete event simulation model. To further reduce simulation run time, parallel computing was adopted in the algorithm. Numerical experiment shows that the proposed algorithm outperforms the genetic algorithm-based and strategy-based simulation-optimization approach.",

author = "Mengyu Zhu and Chenhao Zhou and Ada Che",

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year = "2022",

doi = "10.1109/WSC57314.2022.10015248",

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pages = "1944--1955",

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Zhu, M, Zhou, C & Che, A 2022, Simulation-Optimization Approach for Integrated Scheduling at Wharf Apron in Container Terminals. in B Feng, G Pedrielli, Y Peng, S Shashaani, E Song, CG Corlu, LH Lee, EP Chew, T Roeder & P Lendermann (eds), Proceedings of the 2022 Winter Simulation Conference, WSC 2022. Proceedings - Winter Simulation Conference, vol. 2022-December, Institute of Electrical and Electronics Engineers Inc., pp. 1944-1955, 2022 Winter Simulation Conference, WSC 2022, Guilin, China, 11/12/22. https://doi.org/10.1109/WSC57314.2022.10015248

Simulation-Optimization Approach for Integrated Scheduling at Wharf Apron in Container Terminals. / Zhu, Mengyu; Zhou, Chenhao; Che, Ada.
Proceedings of the 2022 Winter Simulation Conference, WSC 2022. ed. / B. Feng; G. Pedrielli; Y. Peng; S. Shashaani; E. Song; C.G. Corlu; L.H. Lee; E.P. Chew; T. Roeder; P. Lendermann. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1944-1955 (Proceedings - Winter Simulation Conference; Vol. 2022-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhou, Chenhao

AU - Che, Ada

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N2 - As the bridge between land and sea transports, container terminals play a significant role in global trading activities. In order to improve the operational efficiency at the wharf apron, this paper introduced an integrated scheduling problem with the consideration of vehicle dispatching and routing, and developed a time-space network based on takt time. Given the highly uncertain nature of vehicle movement and equipment handshakes, a simulation-optimization approach was developed, which integrates an improved particle swarm optimization and a discrete event simulation model. To further reduce simulation run time, parallel computing was adopted in the algorithm. Numerical experiment shows that the proposed algorithm outperforms the genetic algorithm-based and strategy-based simulation-optimization approach.

AB - As the bridge between land and sea transports, container terminals play a significant role in global trading activities. In order to improve the operational efficiency at the wharf apron, this paper introduced an integrated scheduling problem with the consideration of vehicle dispatching and routing, and developed a time-space network based on takt time. Given the highly uncertain nature of vehicle movement and equipment handshakes, a simulation-optimization approach was developed, which integrates an improved particle swarm optimization and a discrete event simulation model. To further reduce simulation run time, parallel computing was adopted in the algorithm. Numerical experiment shows that the proposed algorithm outperforms the genetic algorithm-based and strategy-based simulation-optimization approach.

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A2 - Song, E.

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Zhu M, Zhou C, Che A. Simulation-Optimization Approach for Integrated Scheduling at Wharf Apron in Container Terminals. In Feng B, Pedrielli G, Peng Y, Shashaani S, Song E, Corlu CG, Lee LH, Chew EP, Roeder T, Lendermann P, editors, Proceedings of the 2022 Winter Simulation Conference, WSC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1944-1955. (Proceedings - Winter Simulation Conference). doi: 10.1109/WSC57314.2022.10015248

Simulation-Optimization Approach for Integrated Scheduling at Wharf Apron in Container Terminals

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