Patterns for reuse in production systems engineering
In Production Systems Engineering (PSE), domain experts aim at reusing partial system
designs implemented as Industry 4.0 assets and software. However, the knowledge on …
designs implemented as Industry 4.0 assets and software. However, the knowledge on …
Need for UAI–anatomy of the paradigm of usable artificial intelligence for domain-specific AI applicability
H Wiemer, D Schneider, V Lang, F Conrad… - Multimodal …, 2023 - mdpi.com
Data-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for
gathering knowledge and automating complex tasks in many areas of science and practice …
gathering knowledge and automating complex tasks in many areas of science and practice …
Analysis of quality issues in production with multi-view coordination assets
The diffusion of the Industry 4.0 paradigm has led to a proliferation of data that is generated
by production assets on the shop floor. This data opens up new opportunities for the …
by production assets on the shop floor. This data opens up new opportunities for the …
Designing a digital shadow for efficient, low-delay analysis of production quality risk
Manufacturers in the automotive industry extensively rely on iterative process Failure Mode
and Effects Analysis (FMEA) in their quality management. Process FMEAs model technical …
and Effects Analysis (FMEA) in their quality management. Process FMEAs model technical …
Risk and engineering knowledge integration in cyber-physical production systems engineering
In agile Cyber-physical Production System (CPPS) engineering, multi-disciplinary teams
work concurrently and iteratively on various CPPS engineering artifacts, based on …
work concurrently and iteratively on various CPPS engineering artifacts, based on …
Engineering Data Treasures, Their Collection and Use
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 …
intelligent utilization of information will change economies. With respect to production …
AutomationML-Based Risk Modeling for Decision Support in Engineering Lifecycles
P Hünecke, C Binder, D Hoffmann… - 2024 IEEE 29th …, 2024 - ieeexplore.ieee.org
This paper discusses the challenges and associated risks that companies face due to the
growing complexity of systems engineering. It highlights the significance of effective and …
growing complexity of systems engineering. It highlights the significance of effective and …
[PDF][PDF] Efficient Multi-view Change Management in Agile Production Systems Engineering.
Agile Production Systems Engineering (PSE) is a complex, collaborative, and knowledge-
intensive process. PSE requires expert knowledge from various disciplines and the …
intensive process. PSE requires expert knowledge from various disciplines and the …