Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Digital Transformation in Assembly
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Expertise
Industrie 4.0 offers a wide range of potential. We help companies exploit the advantages of digitization in the assembly process. Whether for the data-driven optimization of internal assembly processes or to create added value using new assembly data-driven business models or new products: the focus is always on where the greatest benefit for your company lies. We would like to help you find the answer.
Our project formats range from a once-only analysis of digitization potential in order to derive a digitization strategy for your assembly, to continuous data acquisition & analysis and data-driven optimization of your assembly operations with the aid of machine learning methods. If required, we use a sensor system we have developed ourselves for modular data acquisition and analysis. This enables data to be collected without any commissioning effort being required - even in areas without a digitization infrastructure.
Analysis of digitization potential
- Carefully selecting suitable processes for digitization under consideration of the company's goals, current challenges and general conditions
- Data acquisition with a modular sensor system
- Data analysis and intuitive provision of analysis results
- Identifying optimization potential
- Overview of the benefits of data collection and analysis
- Deriving potential for data-driven optimization and for creating added customer value from assembly data
Data driven optimization
- Data science method for analyzing assembly data
- Machine learning methods and algorithms for optimizing assembly in a continuous learning process
- Developing tools and assistive systems as an interface between humans and algorithms
- Support during the digital transformation of assembly processes
Sensor system for data acquisition and analysis in production
- Modular sensor system of distributed sensors mounted to components, tools, devices and machines, for example
- Linked to additional data sources (e.g. ERP, MES systems, machine controls, existing sensors)
- Direct analysis and user-specific provision of results
Petra Foith-Förster introduces the working group Assembly Planning and Data-Driven Optimization
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