How to effectively use big data in automotive manufacturing?

Data collection and analysis are processes that hugely support manufacturing in the automotive sector. Find out how to make effective use of these extremely interesting solutions.
Data collection and analysis are processes that hugely support manufacturing in the automotive sector. Find out how to make effective use of these extremely interesting solutions.
By complying with key CSR principles, companies can efficiently deliver new solutions and products while having a positive impact on society and the environment.
The new draft regulation prepared by the European Commission provides for a ban on the sale of vehicles with combustion engines from 2035. If it is adopted, in 14 years all new cars in Europe will be completely zero-emission, electric or hydrogen powered. This also means that the development of green automotive technologies and the expansion of the infrastructure for charging such vehicles will have to significantly accelerate.
According to the European Automobile Manufacturers Association, the automotive industry spends the most resources on the research and development as compared to other sectors of the European industry. The objective of the continuous perfecting of technologies and new discoveries is to change the transport image to more sustainable and its principal elements are to be lighter, more ecological and intelligent cars of the future.
Many mechanisms exist to streamline and facilitate production processes. However, few of them work as effectively as DFM. Proper technical analysis is the key to reducing production costs and creating smart, efficient solutions, as well as reducing the carbon footprint and environmental impact of the business activity.
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