Actionable artificial intelligence for the future of production Page 120 5 Actionable Artificial
Intelligence for the Future of Production Mohamed Behery, Philipp Brauner, Hans Aoyang …

Industry 4.0 determined the emergence of technologies that enable data-driven production
planning and control approaches. A digital model can be used to make decisions based on …

Process discovery from event logs as well as process prediction using process models at
runtime are increasingly important aspects to improve the operation of digital twins of …

Waiting times in a business process often arise when a case transitions from one activity to
another. Accordingly, analyzing the causes of waiting times in activity transitions can help …

Waiting times in a business process often arise when a case transitions from one activity to
another. Accordingly, analyzing the causes of waiting times of activity transitions can help …

The real-time prediction of business processes using historical event data is an important
capability of modern business process monitoring systems. Existing process prediction …

Object-centric process mining provides a more holistic view of processes where we analyze
processes with multiple case notions. However, most object-centric process mining …

With the advent of Industry 4.0, increasing amounts of data on operational processes (eg,
manufacturing processes) become available. These processes can involve hundreds of …

Industry 4.0 determined the emergence of technologies which allow for data-based
production planning and control approaches. Digital twins can be used to take decisions …

Modern manufacturing systems generate large amounts of data regarding the automation of
business processes, which can be analyzed with process mining techniques. However …