IoT Platforms for Industry 4.0

25 July - 5 August 2022

Munich, Germany

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).

Large amounts of data are generated in almost all areas of today's highly automated plants in the production industry. For example, during engineering or through the recording of several thousand, in some cases continuous, measured values during the operation of the production plant. Moreover, production plants are distributed around the world, which leads to increased complexity. The collected data can be analyzed - even across plants - and form the basis for interaction between the physical and digital worlds. Use cases are, for example, fault detection, increased plant availability, or even process optimization. 

The current industry challenge is managing these large amounts of data, e.g., using model-based approaches, statistical methods, or artificial intelligence approaches. Interconnectedness enables the aggregation of various data, even across company boundaries, and allows for a new way of information retrieval. However, the resulting increased complexity will lead to changes in the technical infrastructures of the companies and, thus, in the human tasks. Humans rarely have to intervene actively in the production process, but they have to monitor the production process in the case of an error. Therefore, the acquired information must also be provided to the operating personnel appropriately. 

In our Summer School, we would like to address topics related to managing large amounts of data with the students. How can new knowledge be gained from the data, and how can this knowledge be integrated into the entire value chain?

In the first week of the Summer School, students will learn the appropriate methods, concepts, and tools (e.g., SysML, BPMN, and DataMining methods). They will also learn the basics of market analysis, IT-enabled business model innovation, and business ecosystem analysis. Together with our industry partners (e.g., Siemens and other well-known partners), we aim to achieve this through exciting real industry examples and use cases. The partners will provide insights into the current challenges in the implementation of IoT technology.

The second week of the Summer School is focused on teamwork. In small teams, students will develop and evaluate business models based on real-world examples from our industry partners and use the learned theory from the first week to implement an ecosystem analysis. In this process, they will practically apply the newly learned techniques and finally present their innovative solutions.

The Summer School takes place at the Campus Garching, the scientific and technical center of the Technical University of Munich (TUM). TUM was one of the first universities of excellence in Germany and is one of the top universities in Europe. With over 12,000 students, Campus Garching is the largest of all TUM locations. 

In addition to the Summer School, we would like to offer participants the opportunity to visit various TUM facilities, e.g., the Maker Space of UnternehmerTUM or the European Southern Observatory, which are also located at the Campus Garching.

Munich's city center can be reached within 25 minutes on the U6 subway line. Together with the EIT students, we want to experience Munich with its great variety of cultural, sports, and social activities, such as the Allianz Arena, the Pinakotheken, or the English Garden.

Rafael Muñoz Gómez - "Very glad to have participated in the EIT Digital 2020 Rennes Summer School - Unleashing the power of circular city data. It was a really unique online learning experience. I am very grateful for all the effort made by the people from the University of Rennes 1 and EIT Digital. Special thanks to Alvaro Pina Stranger and all the mentors: Alberto Tejero Lopez, Maud Serpin, Aude Castan, Francois Huber, Serdar DrZero and Véronique TRUB."

Marta Mazzi -"From August 2nd to August 14th I participated to the EIT Digital Summer School in "Healthy Lifestyle and Behavioural Changes" (online edition). It was a pleasure to work on the case study proposed by Lars Mulder regarding childhood obesity together with my teammates Przemysław Lewandowski, Marta Bertran Ferrer, Juba Saadi, Juta Jaama and Juan Álvarez Fernández del Vallado. We worked hard together coming up with a winning solution: Lola the Carmanyola. A smart lunchbox targeted toward children connected to an application to be installed on the parent's smartphone. A big thank you to our mentors and tutors Ákos R. Wetters and Peter Langela which helped and supported us all along our journey."

Vinko Mlačić - "It has been a month since I attended the EIT Digital Summer School hosted by Universidad Politécnica de Madrid. The theme of the Summer School was "Disrupting Finance with Digital Technologies". We received lectures about the most significant topics in digital finance from industry experts. My team and me had the daunting task of adapting online and mobile banking to the elderly. I would like to thank the coach team (Alessandro T. and Balazs Horvath) that helped us a immensely with the I&E work and for their efforts in keeping the atmosphere light and fun with the social activities. Although the format was remote, the organization of the Summer School did an excellent job at giving us the best possible experience. Furthermore, having an experience of working in a team remotely is definitely a plus in these times. All in all, a great experience. The thing I am the happiest about was the opportunity to meet so many interesting people!"

Léo Vuylsteker - "University of Rennes 1's online Summer School on "Unleashing the Power of Circular City Data" was a great human (and learning) adventure that has now come to an end. Thank you again Université de Rennes 1 and EIT Digital!"

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