Industrial Systems

Code:

EIC0075

Acronym:

SINS

Keywords
Classification	Keyword
OFICIAL	Automação Industrial

Instance: 2008/2009 - 2S

Active?	Yes
Responsible unit:	Automation, Control and Industrial Production Systems
Course/CS Responsible:	Master in Informatics and Computing Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEIC	25	Syllabus since 2006/2007	4	-	6	56	162

Teaching language

Portuguese

Objectives

The student attending this course must:
1. Know the industrial system as a system supported in various processes, directed to events, asynchronous, sequentials, concorrents, with competitive and coordinated activities, whose function is to produce a product on a competitive market;
2. Know the formulation of models and architectures for this type of systems and the most appropriate tools for the performance shaping and evaluation;
3. Learn the main problem of any industrial system – development and ability to compete in the market, with a good product, namely by the design, functional and technological project, innovation by and for the market, technological capacity;
4. Know the recent technological component, a support to the implementation of the main subsystems, namely, Computer Aided Design (CAD), concurrent engineering, system control, material handling and storage, production’s flexibility;
5. Spread and apply the industrial systems’ methodology to new areas, such as intelligent buildings and services like water and transport networks

Program

Short reference to GRAFCET as a modeling/ programming tool. Petri Networks as modeling, simulation and programming tool. Object-oriented Petri Networks.
Organization of industrial processes. Introduction to the Worflow’s methodology. Planning and staggering of processes and activities.
Computer Aided Design (CAD). Interface CAD/ CAM. Numerical Control. Material handling and storage systems – aims and responsibilities.
Identification techniques. Monitoring. SCADAs.
Concurrent Engineering. Concurrent Engineering techniques.
Product Development: notions of design and innovation, functional project, ergonomics and user interaction. Support CAXX tools.

Mandatory literature

Rembold, U.; Computer integrated manufacturing and engineering. ISBN: 0-201-56541-2
Scheer, August-Wilhelm; Enterprise-wide data modelling. ISBN: 3-540-51480-5
Rembold, U.; Computer integrated manufacturing and engineering. ISBN: 0-201-56541-2
Scheer, August-Wilhelm; Enterprise-wide data modelling. ISBN: 3-540-51480-5
Richard Zurawski (ed.); Integration Technologies for Industrial Automated Systems, Taylor & Francis, 2007. ISBN: 0-8493-9262-4

Complementary Bibliography

Scheer, August-Wilhelm; CIM computer integrated manufacturing. ISBN: 3-540-57964-8
Iwanitz; OPC Books
Scheer, August-Wilhelm; CIM computer integrated manufacturing. ISBN: 3-540-57964-8
Iwanitz; OPC Books

Teaching methods and learning activities

The theoretical classes are expositive, involving the active participation of the students, with the presentation of study cases illustrating some systems.
The practical classes are based on the execution of an integrating assignment with the experimental component and the teacher’s help, complemented, if possible, with study visits.

Software

Visual Object Net ++
IsaGraf
TimeNet
FEUPAutom

keywords

Technological sciences > Technology > Computer technology > Systems technology
Technological sciences > Engineering > Process engineering > Process control
Technological sciences > Technology > Production technology > Manufacturing systems
Technological sciences > Technology > Production technology > Manufacturing systems
Technological sciences > Engineering > Process engineering > Process control
Technological sciences > Technology > Computer technology > Systems technology
Technological sciences > Engineering > Control engineering > Automation
Technological sciences > Technology > Computer technology > Control techniques
Technological sciences > Technology > Computer technology > Control techniques
Technological sciences > Engineering > Industrial engineering
Technological sciences > Engineering > Control engineering > Automation
Technological sciences > Engineering > Industrial engineering

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	39,00
Preparation of Lab Work and reports	Trabalho escrito	30,00
Final Exam	Exame	2,00
Main project (includes elements for diffusion of the work done)	Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese	60,00		2009-05-26
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Preparation for Final Exam	Estudo autónomo	29
	Total:	29,00

Eligibility for exams

Besides the regulating conditions, each evaluation component requires a minimum of 30%.

Calculation formula of final grade

Practical classes’ evaluation – 10%
(Homework and problem resolution included)
Project-assignment evaluation – 40%
Written Exam (2h30 test without consultation) – 50%
(Each evaluation component requires a minimum of 30%)

Examinations or Special Assignments

N/A.

Special assessment (TE, DA, ...)

Besides the test equivalent to the final exam, the special evaluation student must reveal some experimental knowledge, by doing a complementary laboratory test, correspondent to the abilities acquired by the ordinary students in the experimental assignment.

Classification improvement

It follows the General Evaluation Rules.