INTERVIEW | MANAGEMENT
Dr Grüneisl will hold the keynote address “Digitalisation and Smart Data Analytics”, at the automatica Forum at Munich, Germany, on June 20, 2018.
What experiences have you had in your pilot projects? Do you significantly reduce planning times thanks to millimeter-precise have sufficient sensor technology in production, or do you digital maps of our plants. need to retrofit in this area? In the highly automated production areas, the following Does this extend beyond predictive maintenance? applies: Robot and control technology In addition to predictive maintenance are equipped as a matter of course with solutions, we especially consider the necessary sensors. In assembly on the optimisation of diverse processes. The other hand, we have retrofitted conveyor analysis of screw data helps us not only systems with a large number of sensors, “MAINTENANCE IS ESPECIALLY A to monitor the quality of manual and which in particular monitor temperature, automated screwdriving processes, GREAT MOTIVATOR; EVERY vibrations, and electric power. Low-cost but also to improve them in the longMINUTE LESS OF PLANT sensors are used, the favorable priceterm, for example, by including the DOWNTIME MEANS THAT YOU performance ratio of which enables findings in training sessions. With CAN BUILD ONE VEHICLE MORE widespread use. The systems transmit online process control, we monitor all WITHOUT NEEDING TO ADJUST the data from these sensor kits and automated manufacturing processes other process data via live stream into in the paintshops continually in the YOUR CAPACITIES” the BMW Intranet-of-Things platform, sense of predictive maintenance and where they are visualised and analysed in best quality for our customers. In body real-time. Based on this data, our staff can assess maintenance manufacturing, we can optimise the installation of doors and requirements optimally. closures data-based in regard to paintshop and assembly. Smart data analytics is therefore process know-how and core What are the biggest advantages in general for production self-performance. using smart data analytics? Let me mention an important example with measurable Are there sufficient experts for this in the market? Do you train results: Intelligent data management enables more accurate them yourself? forecasts concerning wear and guarantees consistently high Experts from different areas are required in the data quality with manageable costs and effort. Smart data analytics analytics field. After all, not only data analysts analyse data, provides completely new opportunities that go far beyond but above all people with experience in system integration previous analysis possibilities. The speed, with which new and sensor technology. In this context, we rely strongly on solutions can be implemented, is increased significantly. For our internal skills, in particular in maintenance. We train data example, we have been able to achieve sustainable improvements analysts further as an area of competence. ☐ for numerous predictive maintenance applications and Source: BMW Group, automatica 2018
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EM | Jan 2018
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