Quality Management

Key Info

Basic Information

Degree:
Master
Semesters:
Wintersemester
Organizational Unit:
Chair of Metrology and Quality Management
Lecturer:
Dr.-Ing. Thomas Vollmer
Language:
English

Further Information

Contact

Phone

work
+49 241 80 26940

Email

E-Mail
 

The digitalization and networking of production and the associated increase in data will give quality management an even more important role in the future. The lecture "Quality Management" shows how this increase in data can be used in quality management. For this purpose, mathematical-statistical basics as well as data analytics and AI methods are presented first, with the help of which information is generated from the data. Afterwards, it will be presented how these methods can be used for different areas of quality management - for example process control, risk management, customer needs - to finally provide decision support - for example by using smart devices. Contributions from the field provide insight into the implementation of quality management in industry.

 

Lecture Topics

  • Introduction
  • Normative Quality Management Systems
  • Strategic Quality Programs
  • Basic Principles of Mathematical Statistics
  • Quality and Economics
  • Quality Management in Field Data Evaluation
  • Quality Management in Manufacturing
  • Quality Management in the Early Phases
  • Focus: Product
  • Quality Management in the Early Phases
  • Focus: Process
  • Quality Management in the Early Phases
  • Focus: Deviation
  • Quality Management in Procurement
  • Quality and Information
  • Quality Management in Service Industries