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Interoperability in data spaces: then, now, and next

The topic of data spaces has gained increased traction in Europe and beyond. In this blog post, we tell in compact way the history of the concept, its current definition, and what significant challenges lie ahead for the consolidation of…

Advancing Automotive Development & Testing with the FERAL Driving Simulator

Development and testing of Advanced Driver Assistance Systems (ADAS) and autonomous driving technologies are of paramount importance in the rapidly evolving automotive industry [1]. Therefore, in collaboration with our industrial partners aSR and CADFEM, we built a driving simulator that…

System safety with safeTbox, the STPA modeling tool

In today’s complex technological landscape, ensuring system safety is paramount. The Systems Theoretic Process Analysis (STPA) framework provides a structured approach for identifying and mitigating safety risks in intricate systems. At the forefront of this methodology is safeTbox, an STPA…

The FMI Standard and Its Significance in Industry

Dieser Artikel ist auch in Deutsch verfügbar: Der FMI-Standard und seine Bedeutung für die Industrie FMI as a means to accelerate product development The Functional Mock-up Interface (FMI) standard is an open standard first released in 2010 as a solution…

Realizing Agricultural Data Spaces with Eclipse Dataspace Components (EDC): a Demo Use Case

As is the case in many domains today, data in the agricultural domain is fragmented, stored in disparate silos that have private standards and closed architectures. The lack of interoperability and trust resulting from such a setup hinders the sharing…

Unlocking Agile Manufacturing: Embracing Service-based Production with Eclipse BaSyx (Part 1)

Service-based production promises a plethora of benefits, such as higher revenues, by providing custom-tailored products or a significant reduction of the time between the placement of a customer order and its fulfillment. However, how can service-based production be realized? Delve…

The engineering of smartness in software-based systems

In the first part of this blog series, we discussed the pursuit of smartness in software-based systems and showed how context awareness often enables what is perceived by end users as “smart behavior”. In today’s post, we address the question…

DIN SPEC 92005 – Standardizing uncertainty in machine learning?

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…

Integrated Process Planning and Scheduling for Service-based Production with Deep Reinforcement Learning (Part 1)

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…