Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal

Bonggwon Kang; Bosung Kim; Soondo Hong

doi:10.1007/978-3-031-16407-1_34

Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal

Bonggwon Kang
, Bosung Kim
, Soondo Hong

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

2 Citations (Scopus)

Abstract

Twin overhead shuttle cranes (OSs) transport containers in a rail-based automated container terminal (RACT). Terminal operators separate a job into a main job and an auxiliary job based on a temporary storage location. Since the temporary storage location determines the frequency of the job separations and the workload of each OS, they use simulation-based decision-making to investigate the impact of the interference between the twin OSs. It is time-intensive to optimize an objective function with manually designed experiments, so this study proposes a sequential optimization approach, Bayesian optimization (BO), to determine the optimal temporary storage location within a limited simulation run. The BO adaptively draws the surrogate model of simulation outcomes and actively suggests the most promising solution comparing the current optimal solution. An experiment demonstrates that the BO predicts the outcomes of a RACT simulation and ensures a near-optimal solution within a limited simulation run.

Original language	English
Title of host publication	Advances in Production Management Systems. Smart Manufacturing and Logistics Systems
Subtitle of host publication	Turning Ideas into Action - IFIP WG 5.7 International Conference, APMS 2022, Proceedings
Editors	Duck Young Kim, Gregor von Cieminski, David Romero
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	285-292
Number of pages	8
ISBN (Print)	9783031164064
DOIs	https://doi.org/10.1007/978-3-031-16407-1_34
Publication status	Published - 2022
Event	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022 - Gyeongju, Korea, Republic of Duration: 25 Sept 2022 → 29 Sept 2022

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	663 IFIP
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022
Country/Territory	Korea, Republic of
City	Gyeongju
Period	25/09/22 → 29/09/22

Bibliographical note

Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.

Keywords

Bayesian optimization
Rail-based automated container terminal
Simulation
Twin overhead shuttles

Access to Document

10.1007/978-3-031-16407-1_34

Cite this

Kang, B., Kim, B., & Hong, S. (2022). Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal. In D. Y. Kim, G. von Cieminski, & D. Romero (Eds.), Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action - IFIP WG 5.7 International Conference, APMS 2022, Proceedings (pp. 285-292). (IFIP Advances in Information and Communication Technology; Vol. 663 IFIP). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16407-1_34

Kang, Bonggwon ; Kim, Bosung ; Hong, Soondo. / Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal. Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action - IFIP WG 5.7 International Conference, APMS 2022, Proceedings. editor / Duck Young Kim ; Gregor von Cieminski ; David Romero. Springer Science and Business Media Deutschland GmbH, 2022. pp. 285-292 (IFIP Advances in Information and Communication Technology).

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title = "Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal",

abstract = "Twin overhead shuttle cranes (OSs) transport containers in a rail-based automated container terminal (RACT). Terminal operators separate a job into a main job and an auxiliary job based on a temporary storage location. Since the temporary storage location determines the frequency of the job separations and the workload of each OS, they use simulation-based decision-making to investigate the impact of the interference between the twin OSs. It is time-intensive to optimize an objective function with manually designed experiments, so this study proposes a sequential optimization approach, Bayesian optimization (BO), to determine the optimal temporary storage location within a limited simulation run. The BO adaptively draws the surrogate model of simulation outcomes and actively suggests the most promising solution comparing the current optimal solution. An experiment demonstrates that the BO predicts the outcomes of a RACT simulation and ensures a near-optimal solution within a limited simulation run.",

keywords = "Bayesian optimization, Rail-based automated container terminal, Simulation, Twin overhead shuttles",

author = "Bonggwon Kang and Bosung Kim and Soondo Hong",

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year = "2022",

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Kang, B, Kim, B & Hong, S 2022, Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal. in DY Kim, G von Cieminski & D Romero (eds), Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action - IFIP WG 5.7 International Conference, APMS 2022, Proceedings. IFIP Advances in Information and Communication Technology, vol. 663 IFIP, Springer Science and Business Media Deutschland GmbH, pp. 285-292, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022, Gyeongju, Korea, Republic of, 25/09/22. https://doi.org/10.1007/978-3-031-16407-1_34

Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal. / Kang, Bonggwon; Kim, Bosung; Hong, Soondo.
Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action - IFIP WG 5.7 International Conference, APMS 2022, Proceedings. ed. / Duck Young Kim; Gregor von Cieminski; David Romero. Springer Science and Business Media Deutschland GmbH, 2022. p. 285-292 (IFIP Advances in Information and Communication Technology; Vol. 663 IFIP).

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

TY - GEN

T1 - Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal

AU - Kang, Bonggwon

AU - Kim, Bosung

AU - Hong, Soondo

PY - 2022

Y1 - 2022

N2 - Twin overhead shuttle cranes (OSs) transport containers in a rail-based automated container terminal (RACT). Terminal operators separate a job into a main job and an auxiliary job based on a temporary storage location. Since the temporary storage location determines the frequency of the job separations and the workload of each OS, they use simulation-based decision-making to investigate the impact of the interference between the twin OSs. It is time-intensive to optimize an objective function with manually designed experiments, so this study proposes a sequential optimization approach, Bayesian optimization (BO), to determine the optimal temporary storage location within a limited simulation run. The BO adaptively draws the surrogate model of simulation outcomes and actively suggests the most promising solution comparing the current optimal solution. An experiment demonstrates that the BO predicts the outcomes of a RACT simulation and ensures a near-optimal solution within a limited simulation run.

AB - Twin overhead shuttle cranes (OSs) transport containers in a rail-based automated container terminal (RACT). Terminal operators separate a job into a main job and an auxiliary job based on a temporary storage location. Since the temporary storage location determines the frequency of the job separations and the workload of each OS, they use simulation-based decision-making to investigate the impact of the interference between the twin OSs. It is time-intensive to optimize an objective function with manually designed experiments, so this study proposes a sequential optimization approach, Bayesian optimization (BO), to determine the optimal temporary storage location within a limited simulation run. The BO adaptively draws the surrogate model of simulation outcomes and actively suggests the most promising solution comparing the current optimal solution. An experiment demonstrates that the BO predicts the outcomes of a RACT simulation and ensures a near-optimal solution within a limited simulation run.

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T3 - IFIP Advances in Information and Communication Technology

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BT - Advances in Production Management Systems. Smart Manufacturing and Logistics Systems

A2 - Kim, Duck Young

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PB - Springer Science and Business Media Deutschland GmbH

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Y2 - 25 September 2022 through 29 September 2022

ER -

Kang B, Kim B, Hong S. Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal. In Kim DY, von Cieminski G, Romero D, editors, Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action - IFIP WG 5.7 International Conference, APMS 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 285-292. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-031-16407-1_34

Sequential Optimization of a Temporary Storage Location for Cooperative Twin Overhead Shuttles in a Rail-Based Automated Container Terminal

Abstract

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Keywords

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