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RISC MANAGEMENT
Innovation in air cargo In the world of logistics innovation, we are working hard on subjects such as big data, blockchain and artificial intelligence. Our ambition is to not only undertake advanced research but to make this new knowledge available to companies. Nowhere does this come together as well as in air cargo.
Text Albert Veenstra
Let’s take a step back. During a recent conversation with a colleague professor we came to discuss the practical use of data. In a project about the use of sensor data for the transport of
Cargo Magazine
chilled consignments, they encountered the problem that you have so much real-time data from sensors (“hurray, data”, the researchers cry), but the crucial information required to interpret this data – namely the state of the consignment at the time of delivery – is often either not there
or it has been saved into a totally different system. Upon arrival, if the consignment is okay, all real-time sensor data is immediately discarded. Only when the consignment, at the moment of delivery, is not okay, then the sensor data is dug out to, retrospectively, see where it went wrong. The morale of the story is: these days we have so much data but we are not yet using it effectively, let alone using real-time data to steer a consignment as it is being transported in order to avoid it being spoiled. Interesting
