A new layout of the U-shaped automated terminal is more convenient to connect between the terminal and the railway. In this study, a sort of cluster scheduling method for multiple equipment between a U-shaped automated terminal yard and a railway yard is proposed. The innovation points are as follows: (1) Considering that the rail gantry crane (RGC), intelligent guided vehicle (IGV), and double cantilever rail crane (DCRC) usually work in groups, they are grouped and cluster-scheduled. (2) A hybrid integer programming model is established to minimize container transit times, and non-crossing constraints and safe distance constraints are included to reflect complex interactions among terminal equipment. (3) An ADMM (Alternating Direction Method of Multipliers)-based framework is proposed to dualize the hard-edge constraints and break the cluster scheduling problem down into a specific subproblem set of RGCs, IGVs, and DCRCs, and their time cost is iteratively adjusted to improve the solution quality. The experiment results show that the solution of the proposed method, which can effectively avoid IGV conflict, is better than that of the standard Lagrange relaxation (LR) when the number of equipments participating in scheduling increases. This study on multi-equipment cluster scheduling is conducive to improving the collaborative handling and continuous work of terminal equipment, and improving the efficiency of the automated terminal and the sea-rail intermodal transport.
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Wuhan Univ Technol, State Key Lab Maritime Technol & Safety, Wuhan 430063, Peoples R China
Wuhan Univ Technol, Sch Transportat & Logist Engn, Wuhan 430063, Peoples R China
Liverpool John Moores Univ, Offshore & Marine Res Inst, Liverpool Logist, Liverpool L3 3AF, EnglandWuhan Univ Technol, State Key Lab Maritime Technol & Safety, Wuhan 430063, Peoples R China
Cai, Lei
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Li, Wenfeng
Zhou, Bo
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Liverpool John Moores Univ, Sch Comp Sci & Math, Liverpool L3 3AF, EnglandWuhan Univ Technol, State Key Lab Maritime Technol & Safety, Wuhan 430063, Peoples R China
Zhou, Bo
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Li, Huanhuan
Yang, Zaili
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Liverpool John Moores Univ, Offshore & Marine Res Inst, Liverpool Logist, Liverpool L3 3AF, EnglandWuhan Univ Technol, State Key Lab Maritime Technol & Safety, Wuhan 430063, Peoples R China
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Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
Chen, Xuchao
He, Shiwei
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Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
He, Shiwei
Zhang, Yongxiang
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Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Peoples R ChinaBeijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
Zhang, Yongxiang
Tong, Lu
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Beihang Univ, Res Inst Frontier Sci, Beijing 100091, Peoples R ChinaBeijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
Tong, Lu
Shang, Pan
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Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
Shang, Pan
Zhou, Xuesong
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Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85281 USABeijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China