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PortEconomics
  • April 8th, 2026
PortEconomics
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    Risk-driven supply chain designs – a re-assessment with geopolitical and geoeconomic considerations

    Risk-driven supply chain designs – a re-assessment with geopolitical and geoeconomic considerations

    Rhine-Scheldt delta port system

    Rhine-Scheldt delta port system

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    A metric of global maritime supply chain disruptions: The global supply chain stress index - maritime (GSCSI-M)

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    ESG disclosure as a proxy of port corporate communication and sustainable management strategy: An LDA approach

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    From coal exports to green steel production? The role of circular economy precincts for sustainable port diversification

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    PortGraphic: Container port dynamics near Gibraltar

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    Top-10 PortReads in 2025

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    Port reform: World Bank publishes the third edition of its port reform toolkit

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    When will we admit that maritime transport will not be decarbonised by 2050?

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    Digital technologies for efficient and resilient sea-land logistics

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    Commission unveils new EU Ports Strategy

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Toward green container liner shipping: joint optimization of heterogeneous fleet deployment, speed optimization, and fuel bunkeringContainers

Toward green container liner shipping: joint optimization of heterogeneous fleet deployment, speed optimization, and fuel bunkering

June 10th, 2025 Containers, Featured, PortStudies

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PortGraphic: Container port dynamics near Gibraltar
PortGraphic: Container port dynamics near Gibraltar
Call for papers: Contemporary Maritime Economics: Transformations and Emerging Perspectives
PortGraphic: Top-15 EU container ports in Q3 2025
PortGraphic: Top-15 EU container ports in Q3 2025
Risk-driven supply chain designs – a re-assessment with geopolitical and geoeconomic considerations
Risk-driven supply chain designs – a re-assessment with geopolitical and geoeconomic considerations

Container liner shipping companies, under the international shipping carbon reduction indicators proposed by the International Maritime Organisation, must transform two key aspects: technology and operations.

PortEconomics member Theo Notteboom, along with Yuzhe Zhao, Zhongxiu Peng (Dalian Maritime University), Jingmiao Zhou (Dalian University of Foreign Languages), Yiji Ma (Dalian Maritime University) defined a green liner shipping problem (GLSP) that integrates the deployment of a heterogeneous fleet, speed determination, and fuel bunkering.

The author’s latest portstudy objective is to achieve low-carbon operations in liner shipping, taking into consideration the diversification of power systems, the use of alternative fuels in ships, and the continuous improvement of alternative fuel bunkering systems. For this purpose, they present a bi-objective mixed integer nonlinear programming model and develop two methodologies: an epsilon-constraint approach and a heuristic-based multi-objective genetic algorithm. Theu validate the effectiveness of our model and methods through a case study involving container ships of various sizes deployed on intra-Asian short sea routes by SITC International Holdings Co., Ltd. The experimental results highlight the crucial role of dual-fuel (DF) ships in the pursuit of low-carbon strategies by liner companies, with liquefied natural gas and ammonia DF ships being the most widely used. Additionally, fuel cell (FC) ships, particularly those powered by ammonia and hydrogen, demonstrate significant carbon reduction potential. Furthermore, ships with larger container capacities have a greater cost advantage. For the GLSP, speed determination is an auxiliary decision, and the lowest speed is not necessarily the optimal choice. Decision-makers must carefully balance competing economic and carbon emission reduction objectives, as deploying more alternative fuel ships may increase fuel bunkering and fuel consumption, resulting in a higher total operating cost.

Find and download the portstudy via the webpage of the International Transactions in Operational Research here.

Next article In a tight spot: American ports in global supply chains
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Apr 8th 1:36 PM
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