cyber-physical production systems

distributed and collaborating services interacting with the actual manufacturing environment

agile manufacturing

adapt rapidly to fluctuating production orders and capacities, changing requirements and new products

interoperability

the ability of two or more systems or components to exchange data and use information

skill-based engineering and control

designing systems based on the required skills for each production process step, not on the actual production resource

plug & produce

fast deployment and reconfiguration of manufacturing equipment

semantic interoperability

a common understanding of the data being exchanged between devices

cyber-physical assemblyand logistics systems

assisting human workers instead of replacing them; cyber-physical assembly and logistic systems to master production challenges of the future

human-centered design of production systems

design of optimized work-processes for human; realtime ergonomic evaluation of workplaces

advanced lndustrial management

Industry 4.0 Maturity Model helps finding the best company-specific path towards digitization; digital assisted assembly planning

workplace learning

human-individual learning; focus on professional training with e.g. Digital Learning Assistance Systems

human-robot-collaboration

collaboration between human and robot in several usecases, e.g. assembly-process of 3d-printing-head

digital assistance systems

planning, implementation and integration of digital assistance systems; step-by-step worker guidance with AR & VR

AI-based maintenance

Artificial intelligence to increase productivity; IIoT solutions for maintenance; Innovative service concepts

tracking & tracing

Location Information Management;
Traceability of Goods Movements; Intelligent Carriers; Various AutoID Technologies

PLM in Industry 4.0

usage of PDM and CAx to enable a front-loading design and workflow with concurrent engineering

virtual product development

usage of CAE tools to enable application and machine specific designs for smart load balancing and mass customization

industrial information systems

Software specially designed for the Industry 4.0 (e.g. integration of software tools along the PLC, context-specific information provision, user-centered design…) 

edge computing for production systems

usage of edge devices at/on/near machines to enable state-based data collection, on site data pre-processing, machine & deep learning,…

AI, ML & DL in manufacturing

usage of AI, ML and DL to assist, automate and/or improve manufacturing processes (e.g. time series analysis, clustering, feature selection, outlier detection…)

computer vision in manufacturing

usage of CV to assist, automate and/or improve manufacturing processes (e.g. image processing, object recognition and tracking, motion tracking, image segmentation, error detection…)