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…
In our blog series on „Time Traveling with Data Science“, we previously introduced different tasks in time series analysis. In this blog post, we now present the task of Outlier Detection. Outliers are data so different from others that one…
On 1 June 2021, the BMWi-funded project SPELL was launched (BMWi=German Federal Ministry of Economic Affairs). The project acronym stands for “Semantic Platform for Intelligent Decision-Making and Mission Support in Control Centers and Situation Rooms” (in German: “Semantische Plattform zur…
Over the course of time, the indispensability of information and communications technology as an integral part of modern software-based systems has also given rise to the demand for more sophisticated development approaches. Among those, the established V-Model and its novel…
Future-proof decision making can be enabled by Continuous Planning and Continuous Budgeting with Continuous Integration of Digital Twins: Today we continue the series Continuous Engineering for Industrie 4.0, where we are exploring how continuous engineering practices should be instantiated to the automation domain to support Industrie 4.0 principles.
Rolling out changes in complex systems is always a challenge. Regardless of whether a software component needs to be modified or whether a change in the communication network needs to be made, any change may lead to unexpected behavior. Continuous…
