As driver for the smart factory
This also necessitates an engineering approach to the development of complex, heterogeneous systems; this is called systems engineering. Such development encompasses models that describe attributes and behavior of production systems and products. Such models enable the virtual design of products and the virtual planning, design and simulation of production.
The future is systems engineering
“The smart factory demands perfect communication between systems. Data flow must occur without human intervention. To achieve this, the products and the production processes must be modeled so that they can be verifiably processed. SysML enables verifiable simulations along with system behavior that can be predicted,” reports Dr. Siegmund Priglinger, expert for business intelligence and data management.
Implementing the Industry 4.0 vision in the digital factory
Methods and tools for the design, analysis, validation and verification of reliable, distributed, adaptive software systems has already been a research focus at Software Competence Center Hagenberg. “This creates the software engineering framework for extracting diverse data from production and the associated processes and analyzing them with the aid of expert knowledge in order to utilize the analysis results for adapting the system (fault correction, optimization, etc.) and to ensure fail safety,” explains Dr. Klaus-Dieter Schewe, scientific head of SCCH.