Smart Factories

Code:

M.EM060

Acronym:

FI

Keywords
Classification	Keyword
OFICIAL	Management

Instance: 2021/2022 - 1S

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

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M.EM	100	Syllabus	1	-	4,5	39	121,5
			2

Teaching language

English

Objectives

Based on an active training methodology, students will become familiar with a comprehensive set of concepts, technologies and tools, capable of enhancing their professional activity in the context of developing and implementing initiatives within the smart factories.

Learning outcomes and competences

This curricular unit will allow participants to:
- Understand the context and current environment of industrial production;
- Understand the complexity and multidisciplinarity of the problems inherent in intelligent production systems;
- Understand the potential and implications inherent to the adoption of key technologies;
- Identify, structure, analyse and evaluate the opportunities resulting from the application of new technologies and production processes;
- Design intelligent production solutions by taking advantage of the potential inherent to the convergence of different technologies;
- Assess the degree of maturity and define a digital transformation strategy aligned with the company's competitive strategy.

Working method

Presencial

Program

Mandatory literature

Y. Koren; The global manufacturing revolution: product-process-business integration and reconfigurable systems, John Wiley & Sons., 2010

Complementary Bibliography

Ustundag, A., & Cevikcan; Industry 4.0: managing the digital transformation, Springer, 2017

Comments from the literature

D: Additional Bibliography:
o Bartodziej, C. J. (2017). The concept industry 4.0. In The concept industry 4.0 (pp. 27-50). Springer Gabler, Wiesbaden.

Teaching methods and learning activities

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho escrito	40,00
Trabalho prático ou de projeto	60,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Apresentação/discussão de um trabalho científico	20,00
Frequência das aulas	39,00
Trabalho escrito	22,00
Trabalho laboratorial	20,50
Estudo autónomo	20,00
Total:	121,50

Eligibility for exams

Students have to attend classes (according to the "General Evaluation Rules" of FEUP Pedagogical Council).

Calculation formula of final grade

Evaluation model:
Distributed evaluation without final exam and based on the following components:
A. Group work - total 60%: (i) TSR technology survey report (25%); (ii) PPW - practical project work (35%)
B. Individual work - total 40%: (i) RN - reading notes (5+5+5); (ii) PA - scientific article analysis (25%)

For each student, the evaluation component of ‘group assignments’ will be corrected taking into account the final 'intragroup' evaluation; will be considered: three criteria (peer review by each of the team members – for each team assessing each criteria from 1 (low) to 5 (high))
- Q1. Amount of work performed
- Q2. Quality of the contributions
- Q3. Interpersonal relationships

Observations

Links for classes (theoretical)

Class MPT [Monday 09:00-10:30] Language: Portuguese 

https://videoconf-colibri.zoom.us/j/88692678013?pwd=TE9vNmpsbDViZjFRQXF2NkxYWkhiUT09
Password: 690401

Class EGP [Monday 11:00-12:30] Language: English

https://videoconf-colibri.zoom.us/j/84646615799?pwd=aER1bHo3OUt1azZ2RXVQaDdubjlLZz09
Password: 767787

 

Class EMG [Friday 09:30-11:00] Language: Portuguese

https://videoconf-colibri.zoom.us/j/88111921034?pwd=TFF0aW5JTmVNUHozUDNGa1ZOWGsrZz09
Password: 086512