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The digital twin does more than just monitor—it can predict outcomes, optimize processes, and autonomously take or suggest actions to improve efficiency, reduce downtime, and enhance overall performance. Common applications include improving operational transparency, enabling predictive maintenance, optimizing resource use, and mitigating risks through simulation. For a better understanding of the functions, equipment, and systems that can be included in a digital twin setup for a container terminal, see the visualization to the rigthright.
To ensure that a digital twin meets the operational demands and strategic goals of a container terminal, engaging all stakeholders is crucial. The complex nature of digital twins adds layers of complexity to the information systems and decision-support tools they enhance. However, the maritime industry, particularly in the realm of container terminals, currently lacks detailed models for conducting requirement analyses for digital twins and deriving specific use cases.
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