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Building a car generates massive amounts of data throughout the value chain. The #bmwgroup uses its Smart Data Analytics digitalisation cluster to analyse this data selectively and enhance its production system. Results from intelligent data analysis make an effective contribution towards improving quality in all areas of production and logistics.
Data-driven improvements to processes and systems help reduce lead times and lower costs. New solutions are being developed not only at headquarters, but at many different points in the international production network. In this way, the #bmwgroup is able to take advantage of a wide range of innovations that open up additional options for even more flexible production. The company uses an access-protected intranet-of-things platform to link the large quantity of sensor and process data from production and logistics quickly and easily. Smart Data Analytics therefore offers completely new opportunities that extend far beyond previous analysis possibilities. The speed with which new solutions can be implemented is increasing significantly. At the same time, new IoT sensors, combined with cloud and big data technologies, are reducing the technical complexity and implementation costs involved
Christian Patron, head of Innovation and Digitalisation in Production System: “Smart Data Analytics is setting new standards for our production system. By combining the experience of our staff with new possibilities for efficient processing of large data volumes, we are able to create accurate forecasts and proactively optimise processes. This speeds up continuous improvement of our production system in line with the basic principles of lean production.
Numerous use cases implemented in various manufacturing sections demonstrate the benefits of Smart Data Analytics.
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