Industrial Informatics

Code:

EIG0066

Acronym:

INFI

Keywords
Classification	Keyword
OFICIAL	Automation

Instance: 2020/2021 - 2S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
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
MIEGI	71	Syllabus since 2006/2007	3	-	6	56	162

Teaching language

Suitable for English-speaking students

Objectives

This course aims to provide the student with a comprehensive overview of systems, applications and technologies used in the industrial informatics domain, from production and supply chain management systems to manufacturing equipment control systems.

For this purpose systems at 3 levels will be considered:

- Operations management systems (production and logistics)

- Control and supervision systems of production facilities

- Automatic equipment control systems.

At each level, the most relevant processes, systems and technologies will be addressed.

 A learning by doing teaching / learning strategy will be adopted in which the student, throughout the semester, learns and applies the concepts acquired through their individual work with the support of the teaching team. This activity is complemented by a project based learning approach in which students work in groups to solve more complex problems that are close to practical reality.

Learning outcomes and competences

Upon completion of this course the student should be able to:

A) Identify the main applications in the field of industrial informatics and understand their key functionalities and interactions, in an integrated perspective

B) Characterize vertical /horizontal information flows in an industrial system.

C) Explain the basic principles of operation of a communication protocol.

D) Use of Modbus protocol (introductory level).

E) Identify and explain automatic identification and data capture technologies (AIDC) used in industrial systems.

F) Use 1D/2D barcodes and RFID systems

G) Identify and explain the technologies used in supervising and execution control of industrial processes.

H) Use of SCADA systems.

I) Develop (simple) multilevel applications for an industrial management system.

Working method

Presencial

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

Programming skills
Basics of information systems.

Program

1- Information systems in industrial organizations

a) Landscape of the main applications: ERP (Enterprise Resource Planning), CRM (Customer Relationship Management) and SCM (Supply Chain Management)

b) Alignment of information systems with the business model

2-  Industrial informatics technologies

a)  Introduction to Modbus protocol.

b) Supervisory control and data acquisition systems (SCADA).

c) Automatic identification and data capture (AIDC). Application in industrial systems. 1D/2D bar codes, RFID (Radio Frequency Identification).

3 - Practical introduction to technologies and tools:

a) controlling production cells;
b) monitoring a production processes and stocks
c) supervising industrial systems
d) managing production systems

 

Mandatory literature

Jurgen Kletti; Manufacturing Execution System - MES. ISBN: 978-3-540-49743-1

Complementary Bibliography

Mikell P. Groover; Automation, production systems, and computer integrated manufacturing. ISBN: 0-13-054652-6
K. L. S. Sharma; Overview of industrial process automation. ISBN: 978-0-124-15779-8
Dag H. Hanssen; Programmable logic controllers. ISBN: 978-1-118-94924-5
Oliver P. Günther, Wolfhard Kletti, Uwe Kubach; RFID in Manufacturing. , Springer, 2008. ISBN: 3540764534
Stuart G. McCrady; Designing SCADA application software. ISBN: 978-0-12-417000-1

Teaching methods and learning activities

- Theoretical classes: discussion of the topics addressed in the course.
- Laboratory classes: development of a multilevel industrial management system application

keywords

Technological sciences > Engineering > Control engineering > Automation
Technological sciences > Engineering > Electrical engineering
Technological sciences > Engineering > Process engineering > Process control

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho escrito	30,00
Trabalho prático ou de projeto	70,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	40,00
Frequência das aulas	56,00
Trabalho laboratorial	66,00
Total:	162,00

Eligibility for exams

-- University of Porto regulations.
--  Completion of the laboratory work.
-- Minimum grade of 8.00 (eight).

Calculation formula of final grade

Laboratory work (TP) (100%):

• Report: 30%
• Application functional requirments: 70%

IF (TP>=8.00)  THEN
       CF = TP
ELSE
       CF=RFC /* not approved */
END_IF

Classification improvement

Students who have not carried out the practical component during the academic period will have to carry out an equivalent work.