Joint optimisation of berth and pipeline allocation for liquid chemical ports

Amid the rapid expansion of global chemical trade, liquid chemical ports currently suffer from low automation and reliance on manual experience. To address the high coupling of berths and pipelines, this study establishes a mixed-integer programming model for collaborative berth-pipeline allocation, integrating three operation modes (direct-connected pipelines, berth-connect pipelines, and manifold-connect pipelines) to minimise total vessel port time. A tailored memetic algorithm with adaptive local search (MA-ALS) is designed, incorporating problem-specific operators to enhance optimisation capability. Numerical experiments demonstrate that our proposed method outperforms other baselines. Furthermore, the study advises prioritising berth upgrade redundancy and identifying marginal benefit inflection points to optimise throughput capacity scientifically.

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Publication Details

Journal
Transportmetrica A Transport Science
Published
2026-06-29
DOI
https://doi.org/10.1080/23249935.2026.2685748
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
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article

Joint optimisation of berth and pipeline allocation for liquid chemical ports

Chunteng Bao, Fang Wang, Weitiao Wu, Yanchen Zhu
Transportmetrica A Transport Science
Vehicle Routing Optimization Methods
article

Joint optimisation of berth and pipeline allocation for liquid chemical ports

Chunteng Bao, Fang Wang, Weitiao Wu, Yanchen Zhu
article en

Abstract

Amid the rapid expansion of global chemical trade, liquid chemical ports currently suffer from low automation and reliance on manual experience. To address the high coupling of berths and pipelines, this study establishes a mixed-integer programming model for collaborative berth-pipeline allocation, integrating three operation modes (direct-connected pipelines, berth-connect pipelines, and manifold-connect pipelines) to minimise total vessel port time. A tailored memetic algorithm with adaptive local search (MA-ALS) is designed, incorporating problem-specific operators to enhance optimisation capability. Numerical experiments demonstrate that our proposed method outperforms other baselines. Furthermore, the study advises prioritising berth upgrade redundancy and identifying marginal benefit inflection points to optimise throughput capacity scientifically.

Transportmetrica A Transport Science
Structural Analytics (United States) (US), Ministry of Transport (CN), South China University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Vehicle Routing Optimization Methods
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Joint optimisation of berth and pipeline allocation for liquid chemical ports — Chunteng Bao, Fang Wang, et al. · Transportmetrica A Transport Science (2026) | TGRS Research Map | TGRS