Quality Management

The lecture is intended to teach students of the master's program the basic concepts and methods of quality management established in the manufacturing industry. In addition, the basics of industrial metrology and current developments in the field of data acquisition and processing will be taught. Finally, an outlook on new possibilities of (preventive) quality assurance including process data will be given.

Lecturers


Contact Address

Assistants



Semester hours per week

Credit Points

When

Where 		Prof. Dr.-Ing. Dipl.-Wirtsch.-Ing. Peter Groche
Prof. Dr.-Ing. Joachim Metternich



Robin Krämer M. Sc.
Leo Roß M. Sc.


2


4

Wednesdays 09:50–11:30

Winter semester 25/26 presence– organization and access via Moodle
Content
  • Structure of a quality management system
  • Management and responsibilities
  • Advance planning of quality and instruments (APQP, QFD, FMEA, 8D, …)
  • Machine and process capability, statistical process control
  • Operational quality assurance in production and assembly
  • Software for operative quality assurance
  • Measuring and testing equipment, digital measuring technology, measurement accuracy and precision
  • Acquisition of process and workpiece data, pre- and post-processing – current final developments and possibilities
  • Quality monitoring and prediction through process data monitoring and machine learning
  • Systematic problem solving
  • Continuous improvement
  • Audits as an instrument for systematic improvement of Q-management
Lecture/Downloads Lecture notes can be downloaded from the Moodle course
Exam A written exam of 90 minutes.
Date and room will be announced via Tucan and Moodle.