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www.us-tech.com Machine Learning: A Logistical Advantage By Ute Häussler, Corporate Communications, FRAMOS T
he increasing volume of online retail sales is pushing traditional logistics and intralogis- tics systems to their limits. Complex or man-
ual sorting processes for items of all shapes and sizes, return rates of up to 60 percent, short deliv-
Logistics 4.0 By networking systems and connecting
machines using sensors, entire logistics processes can be controlled from a single database. The data that is gathered through image processing forms the basis for machine learning, which represents the next evolutionary phase in automation. Cognitive learning processes based on
large volumes of data allow machines to learn for themselves. They can tell for exam- ple, whether a package is damaged, how it must be classified and sorted or whether it is properly sealed. This type of learned artifi- cial intelligence enables logistics processes to be entirely managed by automation. Three real-life examples for both small
FRAMOS’ VLG system offers plug-and-play geometric measurement of almost any object.
ery times, and high-quality picking processes all consume large amounts of resources and involve significant costs. Using “logistics 4.0” technology and machine
learning algorithms in online retailing it is possi- ble to fully automate the entire logistics process. Introducing high-precision control and monitoring systems allows packaging and freight costs to be reduced. In addition, dashboards based on big data enable decisions to be made in real time, strategic forecasts to be produced and errors avoided, while simultaneously cutting handling costs.
and medium-sized enterprises as well as large logistics companies demonstrate the efficacy of image processing. These include a mobile plug-and-play solution to capture master data for small volumes of goods, a completely integrated system that reduces the costs of shipping a large number of items
and a fully-automated sorting processes that makes use of machine learning.
Mobile Plug-and-Play System In smaller businesses with low volumes, the
items that arrive in the warehouse are often meas- ured and entered into the system by hand. This is very time-consuming and leads to inaccurate measurements and data entry errors, since each employee may measure things differently. However, the master data must be accurate
Using logistics 4.0 data, packages are automatically sorted.
impact on all subsequent stages of the process. A simple logistics 4.0 solution for recording
master data correctly consists of a semi-automatic system with a volume light grid and an integrated scale. By automatically defining the minimum size of the item, it is possible to choose the ideal pack-
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to enable correct packaging, to allow the smallest possible and most efficient storage location to be chosen and to ensure that the customs clearance is correct. Faulty data costs money and has an
June, 2017
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