DIN SPEC 92005 has been publicly available since January 2024. It deals with the quantification of uncertainties in Machine Learning (ML) and was developed in collaboration with Fraunhofer IESE, which also provided the deputy chairman. Dieser Artikel ist auch in…
safeTbox stands for Safety Toolbox and it aims at supporting the development of E/E/PE embedded systems with safety critical characteristics. The tool offers special support for the automotive domain and its associated standard ISO 26262, although several of the modeling…
Current industrial production scheduling approaches assume that process planning is performed before scheduling and that process plans are fully or at least partially available before scheduling starts. However, this is not the case in service-based production [5]. Service-based production provides…
In this Fraunhofer IESE blog post series, we will explore the pursuit of smartness in software-based systems. In this initial post, we will discuss the concept of „smart“ within this context, pinpoint what lies at the heart of smart-based systems,…
Are you searching for an engaging approach to convey your ideas to the public? Are you scouting for an appealing medium that would stand out from traditional content delivery methods, such as making a video or publishing an article? Are…
The process industry is characterized by closed systems that cannot be inferred easily from the outside, enormous process durations, and long ramp-up and ramp-down times. As a result, changes to process plants are even more costly than in discrete manufacturing….
Industrie 4.0 (I4.0) is about end-to-end digitalization between IT (information technology) and OT (operation technology), i.e., the shopfloor. For example, the production of small lot sizes requires the ability to efficiently change production. Modern approaches, such as service-oriented manufacturing and…
Despite ever-increasing energy consumption in the IT sector, the software industry still lacks objective quality standards for sustainable software design and development. At Fraunhofer IESE, one area of our activities is research and development of sustainable solutions. In this article,…
What is causal inference in statistics data science? While „correlation does not imply causation“, it is possible to identify causal effects even in data that does not come from randomized controlled trials. Our AI expert, Dr. Julien Siebert, just published…
Taking into account the complexity of the systems around us is the first step towards understanding them. In this post, our expert Dr. Julien Siebert (Fraunhofer IESE) describes the most important characteristics of a complex system from his point of…
