Easy access and utilization of data throughout industrial processes are fundamental elements of Industry 4.0. System connectivity, autonomy and continuous evolution have become key drivers for the next generation of industrial systems. High-tech systems companies pursue opportunities for both improving their system life cycle and defining new business cases by transforming themselves into service providing companies.
However, they need to deal with an increasing demand for high-quality and customized products, while keeping development time and costs at minimum. Traditional system engineering approaches, heavily based on human experience mixed with assumptions, become limited in satisfying these demands. The increasing system complexity and diversity of operational environment become key challenges in the system development and operational lifetime. This raises the need for enhancing the capabilities of system engineers by bringing in a new “expert” – operational data.