Flexible manufacturing systems.
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
communication: OPC UA, MQTT, HTTP, MTConnect, ModbusTCP, Profinet, Profibus, Ethercat
semantics: OWL, RDF, OPC UA
software: RobotStudio, ROS, 4diac, TIA Portal, NX CAD/CAM
Cyber-physical assembly- und logistics systems.
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 industrial 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 Auto-ID Technologies
communication: OPC UA, MQTT, HTTP, Ethernet, OpenProtocol, Wifi
semantics: OWL, RDF, OPC UA
software: NodeRed, TU-Sequenzer, ELAM, Sarissa QA, Automated Content Generator
IT infrastructure and virtualisation.
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…)
communication: TCP, UDP, OSI, MQTT, OPC UA, AMQP, NFC, RFID
semantics: OPC UA, RPC, OWL, RDF, SysML
software: DS 3DExperience & Catia V5/6, Siemens Teamcenter & NX, CIM Database, Ansys, Tensorflow, OpenCV, ROS
programming languages: Python, C++, C, Java, Go, Android, Matlab
