PSA BDP and the A*STAR Institute of High Performance Computing (IHPC) have launched a three-year research collaboration focused on maritime disruption modeling and supply chain risk analysis.

The project aims to apply artificial intelligence, modeling, and simulation tools to identify potential disruptions, evaluate their downstream effects on shipping operations, and explore mitigation strategies.

A*STAR IHPC is part of Singapore's Agency for Science, Technology and Research, while PSA BDP is a logistics and supply chain subsidiary of the PSA Group.

Global shipping networks face ongoing pressure from port congestion, regulatory shifts, climate-related events, and evolving trade patterns—factors that continue to test the resilience of supply chains and maritime operations.

In response, PSA BDP and A*STAR's Institute of High Performance Computing are developing an AI model as part of a joint research project titled “AI-based Event Mining and Impact Evaluation of Maritime Shipping Disruptions.” The initiative aims to identify potential disruptions, assess their operational impact, and explore mitigation strategies through data-driven modeling and simulation.

The announcement noted that 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 data sources such as the Automatic Identification System (AIS) and other publicly available sources to provide clearer insights into terminal capacity and utilisation, helping companies better anticipate and manage disruption risks.

It will also explore the use of large language models (LLMs) to analyse unstructured information, such as news or regulatory updates, complementing maritime data.

PSA BDP and A*STAR IHPC noted that 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.

The AI model will be tested and validated in Singapore, one of the world's busiest transshipment hubs, before expanding to other commercial markets globally.

"At PSA BDP, we empower global shippers to anticipate supply chain disruptions, evaluate alternative scenarios, and act with confidence through data-driven, AI-powered insights and simulation. Our collaboration with A*STAR IHPC strengthens this 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 our commitment to innovation and partnership," said Neil Wheeldon, chief digital innovation officer, PSA BDP.

"By enhancing connectivity across the supply chain, we aim to facilitate seamless trade and enable smarter, more agile decision-making," he added.

Dr. Su Yi, executive director, A*STAR IHPC, noted that big data and AI have the potential to transform how shippers and solution providers manage risk and build resilience across global shipping networks.

"This is especially important for Singapore, a key node in the international maritime system to maintain its reliability amid a rapidly changing environment. We are pleased to partner with PSA BDP, applying A*STAR IHPC’s deep expertise in AI, modelling and simulations."

This research initiative is funded under the SMI grant on "Maritime AI Research for Shipping Disruption Evaluation, Launch Boat Optimisation and Digital Testing of Vessel Predictive Maintenance" as part of Phase 2 of the Maritime AI Research Programme, with the support from MPA.