Container Pre-Marshalling Problem Under the Same-Group Exclusive Strategy

Container pre-marshalling problem (CPMP) has been widely studied. In the real world, containers are divided into multiple groups according to appointment time segments. Containers in different groups have determined priorities; while containers in the same group have uncertain priorities (intra-group priorities). By far, few scholars have studied CPMP with uncertain intra-group priorities. In this regard, this paper proposes a same-group exclusive (SGE) strategy and solves CPMP with uncertain intra-group under SGE (CPMP-SGE). For CPMP-SGE, this paper proposes two mathematical models and a target-guided greedy and correction (TGGC) algorithm. Numerical experiments are conducted on a commonly used dataset. The contributions of this paper are: we solve CPMP with the uncertain intra-group priority under the SGE strategy; we propose two mathematical models for CPMP-SGE; we develop feasibility conditions and design a TGGC algorithm for CPMP-SGE.

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Publication Details

Journal
Asia Pacific Journal of Operational Research
Published
2025-05-23
DOI
https://doi.org/10.1142/s0217595925500204
Primary Topic
Maritime Ports and Logistics
Type
article
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article

Container Pre-Marshalling Problem Under the Same-Group Exclusive Strategy

Jinsong Bao, Ning Wang, Jiahuan Chen, Ruobing Yang
Asia Pacific Journal of Operational Research
Maritime Ports and Logistics
article

Container Pre-Marshalling Problem Under the Same-Group Exclusive Strategy

Jinsong Bao, Ning Wang, Jiahuan Chen, Ruobing Yang
article en

Abstract

Container pre-marshalling problem (CPMP) has been widely studied. In the real world, containers are divided into multiple groups according to appointment time segments. Containers in different groups have determined priorities; while containers in the same group have uncertain priorities (intra-group priorities). By far, few scholars have studied CPMP with uncertain intra-group priorities. In this regard, this paper proposes a same-group exclusive (SGE) strategy and solves CPMP with uncertain intra-group under SGE (CPMP-SGE). For CPMP-SGE, this paper proposes two mathematical models and a target-guided greedy and correction (TGGC) algorithm. Numerical experiments are conducted on a commonly used dataset. The contributions of this paper are: we solve CPMP with the uncertain intra-group priority under the SGE strategy; we propose two mathematical models for CPMP-SGE; we develop feasibility conditions and design a TGGC algorithm for CPMP-SGE.

Asia Pacific Journal of Operational ResearchVol. 43(02)
Shanghai University (CN)
Openalex Percentile: Top 85%
Maritime Ports and Logistics
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