PRedictive Analytics and CollaboraTIve planning in air CArgo Logistics (PRACTICAL): In the air cargo chains, the moment at which shipments will become available for the next step in the chain is uncertain. This project aims to predict the availability of shipments in the cargo chain and share this data to allow logistics actors to plan their processes more efficiently and sustainable. The feasibility and reliability of predicted availability of shipments highly depends on the complexity of the supply chain operation and the availability of data. This research questions addresses the selection and combination of data sciences models in an operational supply chain context.

Facts & Figures

translations.project.date_start: 16 June 2021 translations.project.date_end: 15 June 2022

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