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AMNYTT #1
2015
Det er stor oppmerksomhet rettet mot Industry 4.0 og Integrert produksjon
IIoT and Distributed Intelligence
In the smart vending machine example, the IIoT
order-to-cash automation is saving dollars related to time and labor. But a faster order-to-cash
cycle also improves a company’s cash flow position. The perfect order – the right goods, received
on time, in the right condition – helps eliminate
payment disputes and shortens the order-to-cash
cycle for the supplier.
But consider the question of the vending machine receiving the right goods in the right condition. Vending machines could come prebuilt
with a scanner attached to the inside of the vending machine, present for use when the machine
is opened for stocking. The stocker could scan
the SKU prior to putting it into the machine, and
there would be proof that the right SKUs were
being stocked. Similarly, the vending machine
could have a digital camera and the stocker could
trigger a picture before slotting the product into
the machine, thus proving the goods were not
damaged.
Or, the scanning and pictures could be done
using an automatic identification (AutoID) or
smartphone device carried by the vending company stocker.
In short, there are choices about whether to drive
the perfect order sensing functions to the vending
machine, or if it should reside on a device carried
by the stocker. A study might be needed to determine which makes the most sense for a particular
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