Total Quality Management

Code:

EIG0028

Acronym:

GQT

Keywords
Classification	Keyword
OFICIAL	Operations Management
OFICIAL	Quantitative Methods

Instance: 2009/2010 - 1S

Active?	Yes
Responsible unit:	Department of Industrial Engineering and Management
Course/CS Responsible:	Master in Engineering and Industrial Management

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEIG	69	Syllabus since 2006/2007	4	-	6	56	160
MIEM	42	Syllabus since 2006/2007	5	-	6	56	160

Teaching language

Portuguese

Objectives

1. Background
Nowadays, quality management methods and tools are ubiquitous within the activity of an industrial engineer QM. 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 he should have the ability to develop quality management systems and manage quality improvement projects.
2. Aims
The course aims at providing the students a deep understanding of the quality management principles, knowledge of the fundamental methods and techniques and the skill required to apply them on the design of industrial quality management systems and on quality improvement projects.
3.Previous knowledge (Course Statistics I and II)
• Descriptive statistics and elementary probability theory
• Random variables and fundamental univariate discrete and univariate continuous distributions
• Statistical inference: confidence intervals and hypothesis testing

4. Percent distribution
• Scientific component:50%
• Technological component:50%

5. Learning outcomes
At the end of the course the students should:
• understand the fundamental and 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 the problem solving methodology and be able to apply them using software tools
• know advanced quality tools like statistical process control and be able to to apply quality tools in manufacturing and product development

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
2. Business processes analysis and modelling
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
Quality in manufacturing: Statistical process control
Quality in product development: Failure modes and effects analysis.

Mandatory literature

Américo Azevedo - José Faria; Material 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
- Practical Classes: Problem solving, analysis of case studies and technical papers
- Individual and team practical 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	Trabalho escrito	33,00
	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
	Total:	45,00

Calculation formula of final grade

- Individual work: 20%
- Teamwok: 20%
- Final examination: 60%