(Watch the introduction video on the right.)
Want a fast accurate diagram and map of your supply chain?
How about automatic alerts for earthquakes, strikes, and floods?
This project brings together two concepts:
Automatically draw a flow diagram and a map of a company’s supply chain based on data stored in its corporate databases, andSuperimpose visual displays of alerts and other critical information on top of these images.
Examples of the kinds of critical information to be displayed includes:
Locations of your plants, suppliers, customers, and major transportation lanesAlerts of Natural Disasters, Strikes and Protests, Infrastructure Failure, etc.Heat Maps (frequency diagrams) of hurricanes, floods, earthquakes, etc.Inventory Deployment ($ and Days of Supply) across the networkCapacity Constraints (bottlenecks) in the networkRisk Pathways (most vulnerable segments) across the networkCost Accumulation across the networkCycle Time Accumulation across the network, andMarket Share Impacts of major eventsLater – Carbon Use Across the NetworkLater – Water Use Across the Network
Until now, transportation and network analysts have needed to spend weeks collecting scattered information about suppliers, freight lanes, customers, and products in order to create a network flow diagram. And then it becomes out of date a few months later.
Via
Ricard Lloria
I think this technology may actually become very useful in the developing world. Using drones to say deliver small payloads of exepensive pharmaceuticals to rural communities with bad or non-existent transport infrastructure for example
How practical will it be to have legions of drones flying about, delivering stuff? in one way of course it's 'so what' - we're already beset with delivery channels and vans, so it's just another one. In another way it feels like unnecessary, potentially disastrous - with the potential for huge fails, injuries, etc. The technology is of course there to make such drone in the millions. But what about coordinating and ensuring delivery? That's not just a complex problem, it's a complex problem with almost infinite nonlinear and dynamic variables. The IT to make this work, if it's more than just a stunt, almost requires AI just on its own.
Or perhaps this is just the first chapter in 'drononomics' - and we will soon be seeing an upscaling of nonhuman physcial economics such as we've never imagined.