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Container terminals: reach stacker (RS) job prioritization
Container Reach stacker (RS) machines move and stack containers across the yard. They play a central role in container movement and in keeping quay cranes fed. Modern reach stackers can handle roughly 30–50 moves per hour depending on conditions, and this range directly affects terminal throughput (source). And when RS units work efficiently, the whole […]
Next-generation container terminal planning architecture
terminal capacity and yard design for mega-ships Terminal planners now design for VESSEL SIZES that once seemed improbable. Mega-ships above 20,000 TEU concentrate three times the containers per call compared with mid-generation vessels. For example, modern mega-ships can carry upwards of 24,000 TEUs, which changes berth requirements and yard flows (ITF: The Impact of Mega-Ships). […]
Predictive analytics vs heuristic algorithm for stowage plan
Problem description of stowage planning in container terminals Stowage planning assigns containers to slots so a vessel sails safely and terminals operate smoothly. At its core, stowage balances vessel stability, weight distribution and port efficiency. Planners must consider the arrangement of containers on decks and in holds so the ship stays within stability limits and […]
Container terminal optimization for quay crane allocation
Core Tasks in container Handling Container handling at the quay begins with QUAY CRANE moves that lift, rotate, and place boxes on the quay or on trucks. Then, a container is handed over to terminal trucks or straddle carriers for horizontal transport. Also, careful sequencing of QUAY CRANE tasks matters. Additionally, the handover window is […]
AI in port operations stowage planning
AI and Machine Learning in Port Operations AI and machine learning are reshaping how terminals plan cargo and run operations. First, AI gives terminals models that learn patterns in vessel arrivals, cargo types, and yard capacity. Second, machine learning improves predictions about berth timing and resource needs. Third, these tools help determine the most efficient […]
Predictive maintenance at container terminals with AI
Terminal operating systems and analytics: automating anomaly detection Terminal operating systems pull together telemetry from cranes, trucks, reach stackers and yard equipment. They collect sensor streams, transform them, and feed dashboards for terminal operators. For effective predictive maintenance using this telemetry, the terminal operating systems must ingest high-frequency data and present clean, actionable signals. For […]
