Total Quality Management
Keywords |
Classification |
Keyword |
OFICIAL |
Operations Management |
OFICIAL |
Quantitative Methods |
Instance: 2012/2013 - 1S
Cycles of Study/Courses
Teaching language
Portuguese
Objectives
1. BACKGROUND
Nowadays, quality management methods and tools are ubiquitous within the activity of an industrial engineer. From product design to production management and procurement, quality management is always present. Therefore, an industrial engineer should master the quality management methods and techniques, and should have the ability to develop quality management systems and manage quality improvement projects.
2. AIMS
The course aims at providing students with a deep understanding of quality management principles and a comprehensive knowledge of the fundamental methods, techniques and skills required for the design of industrial quality management systems as well as quality improvement projects.
3. PREVIOUS KNOWLEDGE
Statistics Course (I and II)
• Descriptive statistics and elementary probability theory;
• Random variables and fundamental univariate discrete and continuous distributions;
• Random sampling and sampling distributions;
• Statistical inference: confidence intervals and hypothesis testing;
• Analysis of variance: Models with one factor with fixed effects.
4. PERCENTUAL DISTRIBUTION
• Scientific component: 50%
• Technological component: 50%
5. LEARNING OUTCOMES
At the end of the course the students should:
• understand the fundamental principles of quality control, quality assurance and quality management;
• be able to identify, model and analyze business processes;
• be able to develop quality management systems according to ISO9001 standard;
• know the fundamental quality tools and understand the problem solving methodology;
• use statistical methods and other problem-solving techniques to improve the quality of products and services (with software tools);
• use statistical process control tools to achieve process stability and improve process capability.
Program
1. FUNDAMENTAL QUALITY MANAGEMENT CONCEPTS AND PRINCIPLES
Definitions of quality: product, services and processes. Cost of quality. Quality control, quality assurance and quality management. Total quality management.
2. BUSINESS PROCESS ANALYSIS AND MODELING
Identification, analysis and representation of business processes. Modeling and analysis tools and techniques. Practical examples.
3. MODELS AND STANDARDS FOR QUALITY MANAGEMENT
ISO 9000 family. Process approach. Analysis of the standard ISO9001. Auditing and certification of quality management systems. The excellence model of the European Foundation for Quality Management.
4. QUALITY METHODS AND TOOLS
Statistical process control methods and techniques - data collection and analysis, check sheets, Pareto analysis, cause-and-effect diagrams, histograms, correlation and regression analysis, statistical inference, Shewart control charts. The concept and analysis of process capability.
Quality in product development: Failure modes and effects analysis.
Mandatory literature
Américo Azevedo - José Faria; Material de Apoio à Disciplina
José António Cabral - Henriqueta Nóvoa; Slides de Apoio à Disciplina
Complementary Bibliography
Montgomery, Douglas C.;
Introduction to statistical quality control. ISBN: 0-471-30353-4
Juran, Joseph M.;
Quality planning and analysis. ISBN: 0-07-033183-9
Feigenbaum, Armand Vallin;
Total quality control
Teaching methods and learning activities
- Theoretical classes: Presentation and explanation of subject matter;
- Tutorial Classes: Problem solving, analysis of case studies and technical papers;
- Lectures by invited speakers;
- Individual and team work.
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Description |
Type |
Time (hours) |
Weight (%) |
End date |
Attendance (estimated) |
Participação presencial |
52,00 |
|
|
Final examination |
Exame |
2,00 |
|
|
Individual work |
Trabalho escrito |
30,00 |
|
|
Teamwork |
Exame |
27,00 |
|
|
|
Total: |
- |
0,00 |
|
Amount of time allocated to each course unit
Description |
Type |
Time (hours) |
End date |
Regular study |
Estudo autónomo |
25 |
|
Preparation for the final examination |
Estudo autónomo |
20 |
|
Invited Lectures |
Frequência das aulas |
4 |
|
|
Total: |
49,00 |
|
Calculation formula of final grade
- Individual work: 20%
- Teamwok: 20%
- Final examination: 60%