Harwich Haven operates in a highly constrained environment, where vessel movements are impacted by tidal windows, resource availability, and interdependent schedules.
Limited shared visibility across stakeholders made it difficult to coordinate decisions, leading to inefficiencies, delays, and suboptimal berth utilisation.
Entopy deployed a digital twin of the port ecosystem, connecting vessel schedules, resource constraints, and operational data into a shared, real-time intelligence layer.
By modelling relationships between vessels, towage, berths, and constraints, the platform enabled stakeholders to identify conflicts early and coordinate optimal sequencing decisions.
Entopy’s platform combines ontology-driven digital twins with interconnected micromodels to model vessels, resources, and constraints in real time.
An intelligent agent, supported by memory, proactively communicates emerging issues and enables rapid scenario testing, allowing stakeholders to evaluate options and coordinate optimal decisions under disruption.
