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Predictive port analytics to optimize terminal operations

Predictive port analytics to optimize terminal operations

predictive analytics in container terminals Predictive analytics turns raw port data into forward-looking forecasts and actions. First, it uses historical data and LIVE feeds to model patterns. Next, it generates outputs that help an operator make faster, better decisions. For container terminals this process aims to optimize berth use, crane work, yard stacking and truck […]

Container terminal crane split optimization algorithms

Container terminal crane split optimization algorithms

Crane Split Scheduling: The Role of an algorithm Crane split scheduling defines how quay cranes divide work across berthed vessels. It frames the scheduling problem that ports face every day. In practice, terminals must decide how many cranes serve each vessel bay and when to move cranes along the quay. Those decisions affect vessel turnaround […]

Port container reshuffle strategies to reduce rehandles

Port container reshuffle strategies to reduce rehandles

port: Overview of Container Rehandle Issues at Terminals Container rehandles cost time and money at every busy port. Rehandles occur when a container must be moved more than once during a single call. The primary causes are poor stacking order and unexpected retrievals caused by errant schedules, last-minute changes, or mislabelled cargo. The result appears […]

Predictive crane algorithm for container terminal efficiency

Predictive crane algorithm for container terminal efficiency

Introduction: Non-productive Moves in container terminal operations and port congestion Non-productive moves are every equipment movement that does not directly contribute to loading or unloading a container. They include empty repositioning, idle crane repositioning, and unnecessary truck shuttles. These moves drive costs up and reduce throughput at a container port. For example, empty container repositioning […]

AI-based modal shift prediction for port yard optimisation

AI-based modal shift prediction for port yard optimisation

ai in Modal Shift Prediction for Port Yard Capacity Modal shifts move containers between road, rail and inland waterways, and they drive how a container yard fills and empties. They change arrival patterns, and they change storage needs. Predicting these shifts helps port planners avoid congestion and reduce dwell time. Deep analysis of historical data, […]

Port call and berth optimisation at container terminals

Port call and berth optimisation at container terminals

Optimization: Defining goals and metrics Optimization of port operations begins with clear goals and measurable metrics. For any port, the first targets are waiting time, berth utilisation, and turnaround time. These KPIs drive decisions and investment. Terminal managers monitor waiting time to reduce fuel burn and emission. For example, studies report that vessel waiting times […]