It s about the needle in the haystack And about why we re going to increasingly find it in the future And about what autonomous learning processes of factories have to do with all this The haystack in this case is big data see Smart networking of machines and components But if you take a very close look at the huge volume of data generated in a digital factory you ll actually find the fa mous needles with pinpoint accuracy In this case it s important correlations and information that can improve manufacturing operations High performance computers can already achieve this today They analyze huge data volumes recognize contexts and correlations and are able to predict events that can be prepared for A few ex amples Due to sensors and RFID tags the material inven tory is always in the computer Over time the computer learns how much is actually being consumed as a result allowing material to be ordered with increasingly great er accuracy Machine failures due to wear will soon be history too Thanks to an accumulation of sensor data and information maintenance schedules can be opti mized and parts exchanged before they fail The factory of the future will also be able to autonomously detect malfunctions in the production process by automatically matching machine parameters stored in the memory in the case of abnormalities with the actual values at the time of manufacturing In such cases the factory of the future displays a trait humans sometimes lack It learns from its mistakes BIG DATA THE SELF LEARNING FACTORY How what and why The YouTube clip about the Schaeffler factory of tomorrow provides answers outlook 91

Vorschau Schaeffler tomorrow 03-2017 EN Seite 91
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