Industrial Intelligence Interlaced Quality Management

Key Info

Basic Information

Degree:
Master
Semesters:
Wintersemester
Organizational Unit:
Chair of Prodcution Metrology and Quality Management
Lecturer:
Univ.-Prof. Dr.-Ing. Robert Schmitt
Language:
German

Further Information

Contact

Name

Tobias Claus Brandstätter

Phone

work
+49 241 8904-738

Email

E-Mail
 

Due to the digitalization and networking of production and the associated increase in data, quality management will play an even more important role in the future. The lecture "Quality Management" shows how this increase in data can be used in quality management. First, mathematical-statistical basics as well as data analytics and AI methods will be presented, which are used to generate information from the data. Then it will be shown how these methods can be used for different areas of quality management - for example process control, risk management, customer needs - in order to finally offer decision support - for example through the use of smart devices. Contributions from the practice give insight into the conversion of quality management in the industry.

 

Lecture topics

  • Introduction
  • Entrepreneurial Information Management
  • Internet of Production
  • Quality Management Systems & Statistical Basics
  • Customer Insights
  • Risk Management
  • Complaint Management
  • Process Control
  • Artificial Intelligence in Quality Management
  • Smart Quality Expert
  • Quality Management as a Service
  • Sustainable Production