latest news
Port priority replanning strategies for late vessel calls
Port Congestion and Delays in Container Shipping PORT congestion and delays shape reliability across global trade lanes. Ports often face surges in inbound and outbound activity that overwhelm quay capacity, and this pressure reduces predictability for carriers and cargo owners. Port congestion and delays make scheduling fragile. They drive longer WAIT TIMES, higher shipping costs, […]
Reskilling port workers for container terminal automation
Terminal Transformation: The Case for Reskilling Ports are changing fast. Automation is driving that change. As a result, the nature of work at the container terminal shifts from manual lifts to digital tasks. For example, leading hubs such as Rotterdam and Antwerp are moving toward high degrees of mechanisation. Some studies show automation levels in […]
AI transforms terminal operations with human intervention
AI integration and machine learning in maritime terminal operations Maritime terminal operations cover quay planning, cargo handling, yard management, and berth scheduling. First, these activities must balance limited space with tight vessel windows. Second, they require fast responses to arrival changes, tidal shifts, and equipment faults. Third, planners juggle competing KPI trade-offs like quay productivity […]
Machine learning for port operations ETA prediction
Introduction: ai-powered eta in the maritime supply chain ETA stands for Estimated Time of Arrival. In maritime logistics and global supply chains, ETA drives scheduling, berth allocation, and dockside labour planning. Accurate ETA helps ports reduce idle time and streamline cargo flows. First, it makes berth planning more reliable. Next, it lowers demurrage and waiting […]
Collaborative cloud-based container terminal stowage plan
Stowage Plan Fundamentals A stowage plan defines the arrangement of containers on a vessel or within a yard to support safe, timely, and cost-effective loading and unloading. At inland terminals, a stowage plan drives the sequence of moves, the distribution of containers across bays, and the placement that affects crane cycles and truck pickups. The […]
Deepsea port AI-driven container placement strategies
ai: Improving Container Port Throughput and Terminal Operation Rising cargo volumes and tight schedules push modern container ports to the limit. First, terminals face NP-hard combinatorial problems when they try to stack, retrieve, and move containers with limited quay cranes and yard space. Next, traditional port planners use fixed rules and historical averages that do […]
