Modulbeschreibung

Professional competence: 
Students will be able to:

• Experience, model and develop the flow of data and materials for the relevant use cases for the smart factory.  
• Understand and design the connection of the physical product and its manufacture to the digital world. The technologies of injection molding and adaptive robotics are primarily used for this purpose.
• Use, configure, implement and further develop the relevant IT systems with their interfaces (IT, Internet of Things, machine standards) and the necessary master data.
• Understand, model and program data analyses and simulations based on the available data up to the algorithm for machine learning.

Self-competence

• Dealing with complexity and interdisciplinarity and developing solutions in a team

Social skills

• Actively tackle interdisciplinarity to implement the smart factory and improve communication / understanding between the disciplines and build bridges

Create a basic understanding of the topic of smart factory, know and evaluate concepts and approaches. Personal experience in the OST smart factory (digital and physical learning environment).

Experience, apply and evaluate your own implementation of data acquisition and vertical communication from the sensor to the cloud using a simple example in the factory. In addition, the methods of machine learning and discrete event simulation for optimization are deepened in order to understand a digital factory and to help shape it as a development manager.