Reliabiliy and Quality Systems

Code:

EEC0090

Acronym:

SQFI

Keywords
Classification	Keyword
OFICIAL	Automation, Control & Manufacturing Syst.
OFICIAL	Electronics and Digital Systems

Instance: 2012/2013 - 2S

Active?	Yes
E-learning page:	https://moodle.fe.up.pt/
Responsible unit:	Department of Industrial Engineering and Management
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEEC	68	Syllabus (Transition) since 2010/2011	4	-	6	63	162
		Syllabus	4	-	6	63	162

Teaching language

Suitable for English-speaking students

Objectives

To provide the students with the knowledge and skills required: - To understand the fundamental and principles of quality control, quality assurance and quality management - to model and analyze business processes - to analyze and develop quality management systems according to ISO 9000 standard. - to apply quality tools in manufacturing and product development.

Learning outcomes and competences

t 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.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common 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.

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

Douglas C. Montgomery; Introduction to statistical quality control. ISBN: 0-471-30353-4

Complementary Bibliography

Alec Sharp, Patrick McDermott; Workflow modeling. ISBN: 1-58053-021-4

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

Software

Minitab

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Final Exam	Exame	2,00	50,00
Individual Assignment	Trabalho escrito	30,00	20,00
Group Assignment	Trabalho escrito	25,00	20,00
Attendance	Participação presencial		10,00
	Total:	-	100,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Attendance (estimated)	Frequência das aulas	52
Invited Lectures	Elaboração de projeto	2
Individual and group assignments	Estudo autónomo	55
Study	Estudo autónomo	53
	Total:	162,00

Eligibility for exams

Students have to attend to classes (according to the rules) and have to reach a minimum mark of 40% in the written component of the course, to be admitted to exams. Students have to attend to all seminars (unless justified).

Calculation formula of final grade

Continuous assessment: 10%

Exam: 50%

Practical exercises: 40%

Examinations or Special Assignments

Not applicable

Internship work/project

Not applicable

Special assessment (TE, DA, ...)

Not applicable

Classification improvement

Students can only improve the mark of their written exams.

Observations

Students have to reach a minimum mark of 40% in the written component of the course.