Event

Based on the quality philosophies Total Quality Management (TQM) and Six-Sigma, the lecture will specifically address the needs of a modern quality management. The process orientation in a modern company and the process-specific fields of quality assurance are presented in detail. Preventive as well as non-preventive quality management methods, which are state of the art in operational practice today, are content of the lecture. The use of suitable measurement techniques in production engineering (production measurement technology) as well as their potential levels of integration in the production system are discussed. The use of suitable statistical methods for data analysis and their modern extension by methods of artificial intelligence are be discussed. The contents are complemented by legal aspects in the field of quality management.

Main topics of the lecture:

• The term "Quality"
• Total Quality Management (TQM)
• Six-Sigma and universal methods and tools within the DMAIC cycle
• QM in early product stages – Determination and realization of customer requirements
• QM in product development
• Production measurement technology
• QM in production - statistical methods
• Artificial intelligence and machine learning in quality management
• Operating behaviour and reliability
• Legal aspects in QM

Learning Outcomes:

The students …

• are capable to comment on the content covered by the lecture.
• are capable of substantially quality philosophies.
• are able to apply the QM tools and methods they have learned about in the lecture to new problems from the context of the lecture.
• are able to analyze and evaluate the suitability of the methods, procedures and techniques they have learned about in the lecture for a specific problem.

Workload:

regular attendance: 21 hours
self-study: 99 hours