Quality Management

Faculty of Engineering and Computer Science

Version 6.0 of 09/11/2019

11M0672

Quality Management

• Mechatronic Systems Engineering (M.Sc.)
• Elektrotechnik (Master) (M.Sc.)
• Informatik - Verteilte und Mobile Anwendungen (M.Sc.)

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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. 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.

• 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 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 and ISO/TS 16949
• Quality management in organisations of high and low volume production

Knowledge Broadening
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.
Knowledge Deepening
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.
Instrumental Skills and Competences
They use and interprete numerical and graphical methods of data 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 the quality level, cp, cpk of the population (annual production). The know Q-Methods like FMEA, DOE, POKA-YOKE to optimise the quality, e.g. in production or assembly department.
Communicative Skills and Competences
The students have the qualification to perform presentations of special QM topics and their applications on related industrial production processes in a group.
Systemic Skills and Competences
They have the competence to applicate sophisticated QM methods on industrial production processes and company management.

The module consists of lectures with excercises and presentations/workshops

none

Bourdon, Rainer

Bourdon, Rainer

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Bourdon, R.: Script of the module "QM"J. M. Juran, A. B. Godfrey: Juran´s Quality Handbook, McGraw Hill, 2005N. Slack, S. Chambers, R. Johnston, Operations Management, Pearson 2010P. Senge, The Fifth Discipline, Doubleday 1990D. Hoyle: ISO 9000 Quality Systems Handbook, Butterwoth, 2009J. P. Gläsing, D. Eiche: Workbook FMEA, Ulm 2002D. Besterfield et al., Total Quality Management, Prentice Hill 2002P. F. Wilson, L. Dell, G. Anderson: Root Cause Analysis: A Tool for Total Quality Management, ASQ Quality Press, 1993J. Ficalora, L. Cohen: Quality Function Deployment and Six Sigma; A QFD-Handbook, Addison Wesley, 2009K. Bhote: World Class Quality, Mcgraw-Hill Professional; 2000

• Homework / Assignment
• Presentation

Definitions and application of characteristics for product- and service-quality, implementing Quality Management Systems, statistical tools, relevant models of Qualitiy Management like DIN EN ISO 9000ff, ISO/TS 16949, Kaizen, tools and methods like QFD, FMEA, DOE, QC, elements of a quality system and auditing of a quality management system.

1 Term

Only Summer Term

English