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Terminal operations resilience against disruptions
Understanding supply chains and disruption Terminals act as critical nodes in modern supply chains. They move cargo, consolidate freight, and connect trade lanes. Consequently, a single terminal interruption can ripple through entire supply chains and affect customer satisfaction. For clarity, I will call the handling, storage, and transfer activities at docks and yards a terminal […]
Optimise port terminals to reduce vessel turnaround time
Maritime Operations, Port Congestion and Delay: the need for Turnaround Time improvements Vessel turnaround time measures the total time a vessel spends in a port from arrival to departure. First, this metric drives schedule reliability for shipping companies and affects the broader supply chain. Next, high turnaround time creates port congestion and causes longer waiting […]
Berth allocation problem in terminal operations
Solution Approach: Defining the Berth Allocation Problem in Terminal Operations The berth allocation problem describes how ports assign arriving vessels to named quay positions. First, it defines which vessel occupies which quay space. Next, it sets the start and end of service time. The problem is NP-complete and so finding optimal schedules at scale proves […]
Cloud-based versus on-premise TOS for port operations
cloud-based vs on-premise: TOS deployment model overview A Terminal Operating System (TOS) manages vessel planning, yard management and gate control in container terminals. It ties together planning, equipment control and operational reporting. Ports use a TOS to sequence vessel calls, allocate yard blocks and control trucks at gates. The choice of deployment model changes how […]
Yard planning software for small inland container terminals
Introduction to yard planning in a small container terminal Yard planning matters for every small container terminal that handles cargo and intermodal transfers. It defines where each container will sit, when trucks will arrive, and how cranes and chassis move across the site. For a facility with limited space, smart yard planning can reduce wasted […]
Container port optimization via deep RL simulation
container: Introduction to Deep Reinforcement Learning in Port Logistics Deep reinforcement learning is an AI approach that learns by trial and feedback. It suits complex control tasks. In container logistics it can optimize routing, pickup and drop sequences. The objective is clear. Reduce driving distances. Cut costs. Lower emissions. Also improve throughput. Furthermore enable safer […]
