Data-driven process engineering
The course systematically introduces medium-sized companies from the manufacturing sector to data-driven process engineering. In an era of cross-company software systems and platform-based information architectures, it is particularly necessary to put the processes and the value creation model of the company back at the center of attention. Artificial intelligence and deep learning methods should be viewed as a means to an end, not a basic requirement. The course teaches companies the methods of data-driven process engineering and process analysis to master the challenges of digital transformation.
The objective is to present digitalization opportunities using application examples from industrial practice. Subsequently, a method construction kit is imparted, which can be used for problem analysis, solution structuring and planning of the approach. Applications of these methods are carried out interactively on a selective basis or demonstrated by way of example. The companies are actively involved so that individual solution approaches can be constructed. The goal of the course is not an implementation concept, but the planning of an approach and how effectively partners can be found for the implementation.
Micro, small and medium-sized enterprises (SMEs) in the manufacturing sector, preferably in metal and electronics processing (M+E).
Yannick Landeck, Research Associate in the area of Open Data and Information Management, fortiss
The workshop Data-driven process engineering: "Digitization potential discovered! - The way from idea to concrete action" (Date 18.10.2022) can be booked directly at the following link.