PSA and ASTAR Institute of High Performance Computing have embarked on a three-year joint research initiative to strengthen Singapore’s position as a resilient maritime hub and empower more adaptive and secure global supply chains.
The collaboration combines PSA’s global logistics expertise with A*STAR IHPC’s capabilities in advanced artificial intelligence, modelling, and simulation technologies to detect disruptions, assess their downstream impact on shipping operations, and propose potential risk mitigation strategies.
To address this, PSA and A*STAR IHPC are jointly developing an AI model under the project “AI-based Event Mining and Impact Evaluation of Maritime Shipping Disruptions.”
By enabling earlier detection and faster response during unforeseen events, the AI model aims to help logistics providers, shipping lines, and port operators maintain supply chain continuity and operational resilience.
The system draws from data sources such as the Automatic Identification System and other publicly available sources to provide clearer insights into terminal capacity and utilization, helping companies better anticipate and manage disruption risks.
It will also explore the use of large language models to analyze unstructured information, such as news or regulatory updates, complementing maritime data.
By combining simulation with AI-driven insights, stakeholders from Beneficial Cargo Owners and PSA terminals will be able to make more informed decisions when managing disruptions.
Neil Wheeldon, Chief Digital Innovation Officer, PSA, commented that the collaboration with A*STAR IHPC strengthens the vision through deep research efforts to bring to life the next generation of analytics solutions to unlock new efficiencies, drive tangible value for our customers, and reinforce their commitment to innovation and partnership.
Dr Su Yi, Executive Director, ASTAR IHPC, added that big data and AI have the potential to transform how shippers and solution providers manage risk and build resilience across global shipping networks.
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