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Optimize port terminal capacity with machine learning model
Challenges in terminal capacity at a modern container port Ports face rising pressure from global trade growth, and that pressure shows at the terminal yard. Yard complexity comes from stacking space limits, constrained equipment, and tight vessel schedules. As a result, terminal operators must juggle container storage, yard cranes, and truck flows in real time. […]
Real-time dispatch optimisation in container terminals
The Scheduling Problem in Maritime Container Terminal The scheduling problem in a maritime container terminal centers on allocating scarce equipment and time slots to many competing tasks. Terminals must assign quay cranes, yard cranes, and terminal truck moves while respecting constraints. This leads to combinatorial optimization problems that scale fast. As a result, exact solutions […]
Replanning for disruption in maritime container ports
Container shipping: Introducing dynamic internal transport replanning Dynamic internal transport replanning adjusts the flow of equipment, vehicles, and staff inside a port to respond to unexpected events quickly. It matters for container shipping networks because these networks link vessels, terminals, and hinterland modes. The process uses sensors, tracking, and decision logic to change moves, routes, […]
Crane workload with genetic algorithm at container terminal
Literature Review of Crane Operation in Container Terminal The literature review on crane operation in modern container terminal settings spans scheduling, allocation, and control. First, researchers have compared sequential versus parallel workflows and measured how those choices affect service. A key finding shows parallel placement of cranes can raise productivity by roughly 15–25% compared to […]
Terminal AI solutions optimise container capacity
container terminal operations and port capacity challenges First, rising volumes of global trade push TERMINAL teams to handle more TEUs without expanding footprints. Next, ports face simultaneous pressure at gates, quayside and yards as shipping lines call with larger vessels and tighter schedules. Also, congestion at gates and quayside creates costly DELAY and higher demurrage […]
Human-AI Collaboration in Terminal Operations Planning
AI in terminal operations: Key Concepts Terminal operations planning covers scheduling, resource allocation, cargo handling, and vessel traffic management. It unites many moving parts. Planners must balance berth windows, crane tasks, truck flows, and yard stacking. AI steps in to process large volumes of data quickly and to suggest better plans. AI uses machine learning […]
