Space resource allocation of dry bulk terminal yard based on logic-based Benders decomposition algorithm
This paper investigates the dual-objective space resource allocation problem for a dry bulk port yard responsible for both imports and exports. The study considers factors such as order operation time, operation sequencing, machine scheduling, and space allocation within the yard during the planning...
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| Vydáno v: | Ocean engineering Ročník 324; s. 120543 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
30.04.2025
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| ISSN: | 0029-8018 |
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| Abstract | This paper investigates the dual-objective space resource allocation problem for a dry bulk port yard responsible for both imports and exports. The study considers factors such as order operation time, operation sequencing, machine scheduling, and space allocation within the yard during the planning period. The dual-objective are minimizing order delay time and reducing the space configuration cost of the storage yard, which includes stacker-reclaimer movement costs, material mixing costs, and relocation costs. To effectively address this problem, a logic-based Benders decomposition algorithm is proposed. This approach decomposes the model into two sub-models based on the storage yard's operational process: task-machine-material pad and material pad-material slot. The primary model determines task scheduling, machine assignments, and a rough material layout, while the secondary model refines the material layout based on the output of the primary model. Extensive case studies demonstrate that the proposed logic-based Benders decomposition algorithm generally outperforms the Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm in terms of solution quality, and both of them can solve the result in a short time.
•This paper considers the dual-objective parallel machine scheduling and job assignment problem in a complex terminal yard.•The problem is transformed into a two-objective integer nonlinear programming model with multiple costs.•In this paper, a logic-based Benders decomposition algorithm is proposed, and a new method for obtaining a tight lower bound is proposed. |
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| AbstractList | This paper investigates the dual-objective space resource allocation problem for a dry bulk port yard responsible for both imports and exports. The study considers factors such as order operation time, operation sequencing, machine scheduling, and space allocation within the yard during the planning period. The dual-objective are minimizing order delay time and reducing the space configuration cost of the storage yard, which includes stacker-reclaimer movement costs, material mixing costs, and relocation costs. To effectively address this problem, a logic-based Benders decomposition algorithm is proposed. This approach decomposes the model into two sub-models based on the storage yard's operational process: task-machine-material pad and material pad-material slot. The primary model determines task scheduling, machine assignments, and a rough material layout, while the secondary model refines the material layout based on the output of the primary model. Extensive case studies demonstrate that the proposed logic-based Benders decomposition algorithm generally outperforms the Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm in terms of solution quality, and both of them can solve the result in a short time.
•This paper considers the dual-objective parallel machine scheduling and job assignment problem in a complex terminal yard.•The problem is transformed into a two-objective integer nonlinear programming model with multiple costs.•In this paper, a logic-based Benders decomposition algorithm is proposed, and a new method for obtaining a tight lower bound is proposed. |
| ArticleNumber | 120543 |
| Author | Yang, Li Wu, Wenbo Jia, Peng Ma, Qianli Zhang, Yijia |
| Author_xml | – sequence: 1 givenname: Qianli orcidid: 0000-0003-1428-4916 surname: Ma fullname: Ma, Qianli organization: Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, 116026, China – sequence: 2 givenname: Li orcidid: 0009-0002-4454-1661 surname: Yang fullname: Yang, Li organization: School of Maritime Economics and Management, Dalian Maritime University, Dalian, 116026, China – sequence: 3 givenname: Wenbo surname: Wu fullname: Wu, Wenbo organization: Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, 116026, China – sequence: 4 givenname: Yijia surname: Zhang fullname: Zhang, Yijia organization: Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, 116026, China – sequence: 5 givenname: Peng surname: Jia fullname: Jia, Peng email: jiapeng@dlmu.edu.cn organization: Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, 116026, China |
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| Cites_doi | 10.1371/journal.pone.0309437 10.1016/j.ejor.2013.08.015 10.1016/S0305-0548(02)00059-X 10.1016/S0377-2217(00)00197-1 10.1016/j.eswa.2012.01.187 10.1109/ACCESS.2019.2949948 10.1080/0951192X.2012.684707 10.1016/j.ejor.2011.10.005 10.1016/j.tre.2013.08.006 10.1016/j.cor.2023.106174 10.1016/j.oceaneng.2023.116503 10.1016/j.tre.2020.101856 10.1016/j.asoc.2013.07.029 10.1016/j.cie.2010.12.018 10.1007/s00170-008-1538-x 10.1016/j.aei.2021.101489 10.1016/j.oceaneng.2024.117473 10.1007/s00170-018-2897-6 10.1057/mel.2014.20 10.1007/s13676-012-0011-z 10.1007/s00170-016-9123-1 10.1016/j.cie.2013.01.006 10.1016/j.cie.2021.107911 10.1016/j.tre.2019.03.018 10.1007/s10489-020-02027-1 10.1504/EJIE.2009.023605 10.1007/s10951-015-0436-y 10.1016/j.tre.2020.101917 10.1016/j.cie.2018.07.006 10.1080/0740817X.2015.1063791 10.1109/TASE.2017.2784483 |
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| Keywords | Logic-based Benders decomposition algorithm Production scheduling Dry bulk storage yard Space resource allocation |
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| SubjectTerms | Dry bulk storage yard Logic-based Benders decomposition algorithm Production scheduling Space resource allocation |
| Title | Space resource allocation of dry bulk terminal yard based on logic-based Benders decomposition algorithm |
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