The Swiss engineering master's degree

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. 
• ... 

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 

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.