ARTIFICIAL INTELLIGENCE HELPS ŠKODA AUTO WITH THE BEST SPACE UTILIZATION OF CONTAINERS
ŠKODA AUTO is constantly improving its products and customer services. It does not lag even with increasing efficiency and optimizing processes, including those in and outside production halls. The car manufacturer dispatches around two thousand pallets full of components and materials every week. Optimization algorithms packaged in the OPTIKON application, created in collaboration with Blindspot.AI, help with sea container space utilization and efficient pallet handling and arrangement in container space.
From the logistics center in Mladá Boleslav, containers loaded with pallets full of components intended for the assembly of cars abroad are shipped. The car manufacturer handled and managed the loading of containers using instruction manuals and employees' experience. Employees always tried to put together the ideal combinations of different sizes of loaded pallets, but it was often not easy and possible to look after:
- CONTAINERS TO NOT BE LOADED WITH MORE SPATIALLY SUITABLE PALLETS PRIMARILY
- MORE EFFICIENT LOADING OF EVEN LESS SPATIALLY SUITABLE PALLETS.
- THE CORRECT WEIGHT DISTRIBUTION IN CONTAINERS THAT ARE LOADED WITH LESS SUITABLE PALLETS.
However, finding new pallet loading combinations was becoming more complicated, and, at the same time, it was more difficult for manufacturers to approach the set loading criteria.
There are many limiting and other conditions that need to be taken into account when optimizing loading. These include the time required to calculate a suitable pallet combination. In this case, the logistics processes limit the time to 30 seconds. However, the current course of planning the loading of containers took more time and offered lower efficiency. At the beginning of 2019, therefore, ŠKODA AUTO joined forces with Blindspot. Together, we began working on a proof of concept and subsequent testing of technology that would improve the process. The OPTIKON system was created, thanks to which workers can easily find out the best possible stacking of pallets into a container using a tablet.
- SAVINGS OF EUR 840000 DURING THE FIRST YEAR
- SAVING OF SHIPPING OF 300 CONTAINERS DURING THE FIRST YEAR
- SAVINGS OF 162 TONS OF CO2 EMISSIONS DURING THE FIRST YEAR
- FACILITATION OF THE PROCESS OF TRAINING NEW EMPLOYEES
- OPTIONS TO DETECT SYSTEM PACKAGING ERRORS
ŠKODA AUTO wants to offer the OPTIKON system to other brands within the group to also take advantage of the help and benefits of artificial intelligence. Read the full case study HERE.