Each module contains 3 ECTS. You choose a total of 10 modules/30 ECTS in the following module categories:
- 12-15 ECTS in technical scientific modules (TSM)
TSM modules teach profile-specific specialist skills and supplement the decentralised specialisation modules. - 9-12 ECTS in fundamental theoretical principles modules (FTP)
FTP modules deal with theoretical fundamentals such as higher mathematics, physics, information theory, chemistry, etc. They will teach more detailed, abstract scientific knowledge and help you to bridge the gap between abstraction and application that is so important for innovation. - 6-9 ECTS in context modules (CM)
CM modules will impart additional skills in areas such as technology management, business administration, communication, project management, patent law, contract law, etc.
In the module description (download pdf) you find the entire language information per module divided into the following categories:
- instruction
- documentation
- examination
Introduction to quality management
- The quality approach
Problem solving methodology:
- Overview of the most commonly used tools
- Introduction to design of experiments
- Case studies
Introduction to Statistical Process Control
- Fundamentals
- Control charts
- Key parameter identification
- Capability concepts
- Automated process control
Incoming quality control
- Basics
- Formalization of incoming items requirements
- Customer and supplier risk
- Acceptable Quality Level
- 100% quality control vs random sampling quality control
Metrologic performances and measurement capability
- Uncertainty estimation
- Gage repeatability and reproducibility
- Measurement capability index
- Conformity decision
Examples of quality inspection techniques (commonly used in the field of Microengineering)
- Vision-based devices
- Microscopic techniques
- ... other techniques.
- ...
Prerequisites
Prior to joining the module, the students should be familiar with the basics of statistics (variance, standard deviation, probability density). The student should also understand the concepts of measurement uncertainty, repeatability and reproductibility. Basic knowledge of ISO9001 standards. Knowledge of design/mechanical drawing reading/tolerancing
Learning Objectives
At the end of the module, the students should
- Understand the quality management approach
- Understand and apply the principles of statistical process control
- Able to estimate the capability of a measuring device for the quality control
- Able to make a conformity decision
- Able to evaluate the resulting customer/supplier risks
- Able to set up a sampling plan for a given Acceptable Quality Level
- Know the most commonly used inspection techniques and understand their main limitations.
- Understand the different methods for problem solving
- Understand the main quality wordings.
Contents of Module
- Introduction to quality management: 10%
- Problem solving methodology: 20%
- Introduction to Statistical Process Control: 20%
- Incoming quality control: 20%
- Metrologic performances and measurement capability: 20%
- Examples of quality inspection techniques: 10%
Teaching and Learning Methods
- Lectures
- Exercises
- Case studies
- Self-study of inspection techniques
Literature
Duret, D. and M. Pillet. « Qualité en Production : De l'ISO 9000 à Six Sigma », Ed. Eyrolles (2005)
Download full module description
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