IoT Platforms for Industry 4.0 | Summer / Short course | Computer Science & IT | Online/Distance | 2 weeks | EIT Digital Master School | Belgium

Self-organizing intelligent automated production systems (APS), which can produce mass products according to individual customer requirements, are a core topic of Industry 4.0. A fundamental precondition for mass customization is the Internet of Things (IoT), which has become established in almost all industrial areas (connected vehicles, infrastructure, logistics). Through IoT, data can be generated from nearly all physical devices in the production process, including the products themselves, and it can be made available worldwide via the Internet. The gathered data is stored and can be evaluated across production plants and provides the basis for active and reactive interaction between the physical and digital worlds. Use cases are, for example, error detection or process optimization. A current challenge in this context is managing the collected data (Big Data to Smart Data), e.g., utilizing model-based approaches, statistical methods, and artificial intelligence methods. Furthermore, Industry 4.0 approaches do not only change the technical infrastructures within the company and across company boundaries but also transform the tasks of the human in the process. The increased autonomy of production plants also leads to increased complexity in production plants. While networking and the thereby enabled aggregation of data across company boundaries lead to a new way of information retrieval, this information must also be presented appropriately for the operating staff.