7 August 2021
IoT Platforms for Industry 4.0
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.
The exploration of specific and tangible use cases could indicate how companies can combine their products, manufacturing processes, and product development and obtain more customer-oriented products and services.
During this summer school, organised by the Technical University of Munich (TUM), participants will understand the basics of the Internet of Things and Industry 4.0. They will learn how companies use IoT platforms for enhanced value creation in the fields of product design, manufacturing, process control, and customer integration under consideration of the humans in this complex process. Further, companies offer insights into state-of-the-art challenges when implementing IoT technology. The participants gain hands-on experience in prototyping with IoT technology and will be able to evaluate the economic benefits of IoT applications and their opportunities for new business models. In the summer school, the participants will learn how to apply state of the art techniques to create innovative solutions and pitch their ideas. Furthermore, they will be able to develop and evaluate business models, perform an ecosystem analysis, and calculate a business case for real cases of our industry partners.
Location: TUM Campus Garching (Subway Station: Garching Forschungszentrum)
We welcome all qualified participants interested in digital innovation and entrepreneurship: Business professionals, bachelor’s degree students, master’s degree students, and doctoral students from any university and industry.
Acceptance of transfer credit is always a decision of receiving institutions. Any student interested in transferring 4 ECTS credits to another college or university should check directly with the receiving institution.
EUR 1200: Early bird rate. Early bird fees are available for applications submitted between 1 February and 31 March 2021.
Accommodation is not included in the price. Pending availability, you can choose to have the same hotel accommodation as the EIT Digital Master School students at a price of €450 for 12 nights. In this case, you will have a shared room with another participant.
EUR 1900: Regular rate. Accommodation is not included in the price. Pending availability, you can choose to have the same hotel accommodation as the EIT Digital Master School students at a price of €450 for 12 nights. In this case, you will have a shared room with another participant.