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Methods for Quality Control
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Business
Instruction in: English
Course Code: 13194
Transcript Source: Partner Institution
Course Details: Level 300, 400
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: Statistics I and II
DESCRIPTION
1. Quality. Quality management systems.
1.1 History of Quality
1.2 Quality management systems.
1.3 Standardisation, Accreditation and Certification.
1.4 Processes management.
2. Management and improvement of quality.
2.1 Organizational structure and documentary management.
2.2 Planning, Establishment, Monitoring and Improvement.
3. Total Quality. EFQM model of Excelence.
3.1 Preliminaries.
3.2 Description.
3.3 Assessment.
3.4 Awards.
4. Economic aspects of quality. Quality costs.
4.1 Idea.
4.2 Classification.
4.3 Optimal quality.
5. Quality indicators.
6. Statistical processes control.
6.1 Basics of Statistics.
6.2 Variability of a manufacturing process.
6.3 Variable control.
6.4 Attribute control.
7. Quality tools.
7.1 Introduction. Ishikawa¿s idea.
7.2 Histograms.
7.3 Pareto charts.
7.4 Cause and Effect charts.
7.5 Scatter diagrams.
7.6 Flow charts.
7.7 Run charts.
7.8 Control charts.
8. Processes improvement. 6-Sigma methodology.
8.1 Idea.
8.2 6-Sigma methodology.
8.3 Other methods.
9. Receipt control
9.1 Introduction.
9.2 Sampling.
9.3 Tables Mil-Std-105.
10. Experiments design
10.1 Factorial design.
10.2 ANOVA.
1.1 History of Quality
1.2 Quality management systems.
1.3 Standardisation, Accreditation and Certification.
1.4 Processes management.
2. Management and improvement of quality.
2.1 Organizational structure and documentary management.
2.2 Planning, Establishment, Monitoring and Improvement.
3. Total Quality. EFQM model of Excelence.
3.1 Preliminaries.
3.2 Description.
3.3 Assessment.
3.4 Awards.
4. Economic aspects of quality. Quality costs.
4.1 Idea.
4.2 Classification.
4.3 Optimal quality.
5. Quality indicators.
6. Statistical processes control.
6.1 Basics of Statistics.
6.2 Variability of a manufacturing process.
6.3 Variable control.
6.4 Attribute control.
7. Quality tools.
7.1 Introduction. Ishikawa¿s idea.
7.2 Histograms.
7.3 Pareto charts.
7.4 Cause and Effect charts.
7.5 Scatter diagrams.
7.6 Flow charts.
7.7 Run charts.
7.8 Control charts.
8. Processes improvement. 6-Sigma methodology.
8.1 Idea.
8.2 6-Sigma methodology.
8.3 Other methods.
9. Receipt control
9.1 Introduction.
9.2 Sampling.
9.3 Tables Mil-Std-105.
10. Experiments design
10.1 Factorial design.
10.2 ANOVA.
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