ML-QuantSubscribe

RePEcML & AI Methods

Flexible Truck Appointment System

The paper proposes a machine learning model for flexible truck appointment systems in smart ports, using real-time data to identify disruptions and reschedule appointments, thus enhancing port efficiency.

Featured in No. 59 on 31 Jul 2024 · on release day

Released
31 Jul 2024
First featured
No. 59 · 31 Jul 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
14
Identifier
RePEc:ids:ijlsma:v:48:y:2024:i:2:p:244-266

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page