Design of digital twin applications in automated storage yard scheduling

A digital twin-enabled automated storage yard scheduling framework for uncertain port dispatching is proposed in this paper. Digital twin technology is employed to establish the virtual yet realistic storage yard and the connection between them. In the proposed framework, disturbed scenarios during...

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Main Authors: Gao, Yinping, Chang, Daofang, Chen, Chun-Hsien, Xu, Zhenyu
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/162106
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1621062022-10-04T06:18:38Z Design of digital twin applications in automated storage yard scheduling Gao, Yinping Chang, Daofang Chen, Chun-Hsien Xu, Zhenyu School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Port Optimization Automated Storage Yard Scheduling A digital twin-enabled automated storage yard scheduling framework for uncertain port dispatching is proposed in this paper. Digital twin technology is employed to establish the virtual yet realistic storage yard and the connection between them. In the proposed framework, disturbed scenarios during practical operation are monitored, and real-time data is visualized in the virtual space to adapt to the time-varying environment. The proposed framework focuses on the optimization of three main resources, viz. storage area, automated stacking cranes (ASCs), and automated guided vehicles (AGVs). In addition, three key technologies, the Internet of Things (IoT), virtual reality, and digital thread, are adopted to develop the proposed scheduling system. A case study of ASC rescheduling due to dynamic arrival is used to demonstrate the effectiveness of the proposed framework and the significance of obtaining uncertainties in port optimization. Sensitivity analysis is conducted to define the appropriate configuration required to handle all tasks. The results show that digital twin applications in automated storage yard scheduling help operators make optimization decisions. This work was supported by the National Key Research and Development Plan of China (No. 2019YFB1704403), Shanghai Maritime University Graduate Outstanding Creative Talent Training Program (No. 2019YBR014) and the China Scholarship Council. 2022-10-04T06:18:37Z 2022-10-04T06:18:37Z 2022 Journal Article Gao, Y., Chang, D., Chen, C. & Xu, Z. (2022). Design of digital twin applications in automated storage yard scheduling. Advanced Engineering Informatics, 51, 101477-. https://dx.doi.org/10.1016/j.aei.2021.101477 1474-0346 https://hdl.handle.net/10356/162106 10.1016/j.aei.2021.101477 2-s2.0-85122455443 51 101477 en Advanced Engineering Informatics © 2021 Published by Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Port Optimization
Automated Storage Yard Scheduling
spellingShingle Engineering::Mechanical engineering
Port Optimization
Automated Storage Yard Scheduling
Gao, Yinping
Chang, Daofang
Chen, Chun-Hsien
Xu, Zhenyu
Design of digital twin applications in automated storage yard scheduling
description A digital twin-enabled automated storage yard scheduling framework for uncertain port dispatching is proposed in this paper. Digital twin technology is employed to establish the virtual yet realistic storage yard and the connection between them. In the proposed framework, disturbed scenarios during practical operation are monitored, and real-time data is visualized in the virtual space to adapt to the time-varying environment. The proposed framework focuses on the optimization of three main resources, viz. storage area, automated stacking cranes (ASCs), and automated guided vehicles (AGVs). In addition, three key technologies, the Internet of Things (IoT), virtual reality, and digital thread, are adopted to develop the proposed scheduling system. A case study of ASC rescheduling due to dynamic arrival is used to demonstrate the effectiveness of the proposed framework and the significance of obtaining uncertainties in port optimization. Sensitivity analysis is conducted to define the appropriate configuration required to handle all tasks. The results show that digital twin applications in automated storage yard scheduling help operators make optimization decisions.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Gao, Yinping
Chang, Daofang
Chen, Chun-Hsien
Xu, Zhenyu
format Article
author Gao, Yinping
Chang, Daofang
Chen, Chun-Hsien
Xu, Zhenyu
author_sort Gao, Yinping
title Design of digital twin applications in automated storage yard scheduling
title_short Design of digital twin applications in automated storage yard scheduling
title_full Design of digital twin applications in automated storage yard scheduling
title_fullStr Design of digital twin applications in automated storage yard scheduling
title_full_unstemmed Design of digital twin applications in automated storage yard scheduling
title_sort design of digital twin applications in automated storage yard scheduling
publishDate 2022
url https://hdl.handle.net/10356/162106
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