Migrating engineering tools towards an automationml-based engineering pipeline

AK Behnert, F Rinker, A Lüder… - 2021 IEEE 19th …, 2021 - ieeexplore.ieee.org
Efficient and effective engineering data exchange is increasingly considered a key success
factor in the life cycle of production systems, leading to the intensified development of data …

Risk and engineering knowledge integration in cyber-physical production systems engineering

F Rinker, K Meixner, S Kropatschek… - 2022 48th Euromicro …, 2022 - ieeexplore.ieee.org
In agile Cyber-physical Production System (CPPS) engineering, multi-disciplinary teams
work concurrently and iteratively on various CPPS engineering artifacts, based on …

Traceable Multi-view Model Integration: A Transformation Pipeline for Agile Production Systems Engineering

F Rinker, L Waltersdorfer, K Meixner, D Winkler… - SN Computer …, 2023 - Springer
Abstract Purpose. Agile Production Systems Engineering (PSE) is characterised by parallel
and iterative engineering of several disciplines. This multi-view engineering requires …

Engineering Data Treasures, Their Collection and Use

A Lüder, K Meixner, S Biffl - IFAC-PapersOnLine, 2022 - Elsevier
Abstract “Data is the new oil” is a frequently pronounced statement. It is expected that
intelligent utilization of information will change economies. With respect to production …

Towards efficient generation of a multi-domain engineering graph with common concepts

F Rinker, K Meixner, L Waltersdorfer… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
Industry 4.0 envisions adaptive production systems, ie, Cyber-Physical Production Systems
(CPPSs), to manufacture products from a product line. Product-Process-Resource modeling …

[PDF][PDF] Flexible Multi-aspect Model Integration for Cyber-Physical Production Systems Engineering.

F Rinker - CAiSE (Doctoral Consortium), 2021 - ceur-ws.org
Background. Consistent cross-disciplinary engineering data models have become
increasingly important for engineers and project managers to validate system designs or …

[PDF][PDF] Efficient Multi-view Change Management in Agile Production Systems Engineering.

F Rinker, S Kropatschek, T Steuer, K Meixner… - ICEIS (2), 2022 - researchgate.net
Agile Production Systems Engineering (PSE) is a complex, collaborative, and knowledge-
intensive process. PSE requires expert knowledge from various disciplines and the …

Ensuring Inter-Model Consistency

J Meier - 2024 - oops.uni-oldenburg.de
Increasing size, complexity and heterogeneity of software-intensive systems make it nearly
impossible that single persons develop a whole system. Therefore, different stakeholders …

Multi-view FMEA Re-validation: Efficient Risk and Engineering Knowledge Integration in Agile Production Systems Engineering

F Rinker, S Kropatschek, T Steuer, E Kiesling… - … Conference on Model …, 2021 - Springer
Abstract In agile Production Systems Engineering (PSE), multi-disciplinary teams work
concurrently on various PSE artifacts in an iterative process that can be supported by …

[PDF][PDF] Reference: QSE: MDEG Topic: Multi-Domain Engineering Graph Generation with Common Concepts

S Biffl - qse.ifs.tuwien.ac.at
Background Established process models for distributed collaborative work are workflows for
source code management, eg, Git supports an efficient distributed, non-linear workflow that …