At PredictLand we have experience in applying AI and BigData to manufacturing processes.
With the help of the data received from the sensors we identify problems, analyze the properties and qualities of the parts during the process and, in general, extract all kinds of statistical information that helps to improve decision-making in the face of any critical failure or even anticipate it.
For example, in the case of a manufacturing plant where they have a critical machine for the production line. Each time this station has a change in manufacturing circumstances, production stops completely until a new configuration suitable for the new production is found. This process can take hours, in addition to the complete loss of the piece for each test configuration that is wrong.
The number of tests to be performed and the time is drastically reduced with the help of the AI, since, with the help of material characteristics data and data from previous configurations, the AI is able to recommend a series of configurations that maximize the success rate without having to randomly test configurations.
This solution must be integrated in the process and facilitate the operator the possible machine recalibrations, with the consequent improvement of the OEE and minimization of manufacturing defects.
Javier Chasco Echevarría - I4.0 Responsible at BSH Electrodomésticos, Esquiroz (Navarra)
Data is the answer
We apply Data Science in business to address current needs and predict future outcomes.
“There is only one way to get things done. Just well done”
