Three Solutions for Drayage

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Die Echtzeit-Disposition der Lkw-Flotte kann, wenn sie durch künstliche Intelligenz (KI) unterstützt wird, die Herausforderungen im Hafen- und Terminal-Transportbetrieb meistern. Gleichzeitig sorgt sie für erhebliche Effizienzsteigerungen, Kostensenkungen und ökologische Verbesserungen. In diesem Artikel werden drei zentrale Herausforderungen und Lösungen für die Branche vorgestellt.

Dieser Artikel ist ausschließlich in englischer Sprache erhältlich.


Long and Unpredictable Gate Queuing

It is no secret in the maritime industry that long truck queue times are regularly encountered - manual gate processes and peak traffic at certain times of the day (e.g., morning queuing) are two of many factors that lead to long and unpredictable gate-queuing times. In the Truck Drayage Productivity Guide, published by The National Academies Press, it notes that the average delay across the year at ports in the USA is 20 minutes, but during peak periods, such as morning queues, the delays can easily extend for hours. It estimates that these delays cost ports between US$67-83 million (€55-68 million) nation wide annually. In addition, the sustainability impact from vehicles idling for, on average, 20 minutes per drayage call adds up quickly. A study from the Journal of the Air & Waste Management Association finds that idle emissions from diesel engine saveraged 4500g/hr. On the basis of an estimated 60 million drayage calls per year in the USA, an average delay of 20 minutes equates to 90,000 tons of CO2 produced annually that could be avoided.

Solution: Time Slot and Gate Management

Truck fleet dispatch systems come equipped with a comprehensive time slot management and gate management feature allowing dispatch planners to streamline drayage operations. By considering the availability of personnel, load availability, loading equipment capacity restrictions, as well as other restrictions, the agile optimisation software produces an optimised time slot plan during both preliminary planning and real-time operations, considering ad-hoc bookings and other unforeseen circumstances, while adjusting as needed.

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