Quality Management

11M0672

Master

Englisch

5.0

nur Sommersemester

1 Semester

Quality Management - in modern business and service organisations - is a system of planing, assurance and improvement of quality over all business processes of the organisation to achieve customer high satisfaction which is the basis for new projects and company growth. For this, by finishing this module successfully, the students know about the available methods and tools to initiate and support a comprehensive Qualitiy Management Approach. It is the central objective of the module to provide information and understanding on this philosophy. The lecture is completely in English.

- Definitions of quality and quality management - Quality characteristics and statistical methods to measure and improve quality - Statistical tools of Quality management: distributions - Normal-, Binomial, Poisson, confidence limits, process capability, quality forcasts, P-plot and statistical tests - TQM methods, Six sigma and tools of quality management, e.g. QFD, FMEA, SPC, DOE, QC, Poka Yoke - Elements and implementation of quality management systems on the base of DIN EN ISO 9000ff / ISO/TS 16949 / EN ISO 13485 -Particular attention is paid to the DoE method for optimizing processes and improving quality levels.

Der Arbeitsaufwand für das Modul umfasst insgesamt 150 Stunden (siehe auch "ECTS-Leistungspunkte und Benotung").

• Hausarbeit oder
• Referat (mit schriftlicher Ausarbeitung)

Homework assignment: 10-20 pages, if necessary associated explanation: approx. 20 minutes

Presentation: approx. 20 minutes per group, accociated elaboration: 3 pages

none

The students know about many different quality methods, quality systems and auditing. They understand Quality Management as a central process involving all levels and departments of a producing company or a business organisation. A very powerful method in optimization of processes within Six Sigma is DoE. With this lecture the students will get to know basic designs, how to analyse the results with ANOVA and regression and how to optimize the examined responses. 

The students have the competence to work with the elements of quality management in the industry. They know detailled about methods according to the Quality Management practiced in the industry. So they can analyse the quality performance of a department or a company and optimize it.

They use and interprete numerical and graphical methods of data analysis,  presentation and interpretation. In addition they learn about the most important methods of quality management. They have the competence to analyse production data in samples and can calculate and predict the quality level, cp, cpk of the population (annual production). They know Q-Methods like FMEA, DOE, POKA-YOKE to optimise the quality, e.g. in production or assembly department.

The students have the qualification to perform presentations and written reports of special QM topics and their applications on related industrial production processes in a group.

The students can critically reflect the used methods of analysis and optimisation on the quality performance of an industrial company. They are able to evaluate the qualtiy methodes performed in the departments of a company, discuss them in a team and develop them further on.

• Schr?der, Cathrin

• Schr?der, Cathrin