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English classes 2nd semester 2018/19 

 
UMinho is one of the youngest universities of Portugal and its first degrees were created almost 40 years ago. The production and systems area was one of the first created at that time to sup-port the Engineering Curricula, mainly the Production Engineering degree. The Department of Production and Systems (DPS) has been growing and, at the moment, we can offer you one PhD (the oldest in Portugal) and seven Master Degrees. The DPS staff is responsible for almost two hundred curricular units in the different areas of Industrial Engineering Management. 

For courses formally taught in Portuguese, there might be the possibility to have access to bibliography, course materials, tutorial support and assessment in English. There is the option to develop research/ project work with supervision in English or in a common language between the student and the tutor. Students should contact the teachers once they arrive in order to check/agree on these possibilities.



CURRICULAR UNITS

Introduction to Economic Engineering (5 ECTS)
Code:9691 Integrated Master’s in Industrial
Management and Engineering 1Y

Introductory concepts. The model of supply and demand.
Demand theory. The firm. Supply theory. Markets and pricing.

Teaching Staff 

1 Jorge Cunha Director of the 
Master of Industrial Engineering, 
Assistant Professor 

2 Lino Costa Representative of 
ESPI, Associate Professor 

3 Nelson Costa Assistant  
Professor 

4 Sameiro Carvalho Associate 
Professor 

5 Paulo Sampaio Vice-Dean of 
School of Engineering, 
Associate Professor
 
6 Dinis Carvalho Associate
Professor with Habilitation  
 
Schedule
2nd Semester 
February—July 
 
Academic Coordinator
Senhorinha Teixeira 

Secretary
Carla Rocha 

Internacional Relations Office 
+351253510169 incoming@sri.uminho.pt sri@sri.uminho.pt alunos.uminho.pt 

BabeliUM - Language Centre babelium.ilch.uminho.pt   

Students Organizations
ESN 

NEEGIUM 
facebook/neegium 

ESTIEM facebook/guimaraaaeeess/
















Applied Statistics (5 ECTS)
Code:7572 Integrated Master’s in Industrial
Management and Engineering 1Y

Population and sample. Data types and scales of measurement.
Descriptive statistics. Probability concepts. Random variables and univariate probability distributions. Expected value. Families of probability distributions. Estimation of parameters. Confidence intervals. Tests of hypotheses. Analysis of variance (ANOVA). Regression and correlation. Goodness of fit tests for large samples.


Occupational Safety and Hygiene (5 ECTS)
Code:7594 Integrated Master’s in Industrial Management and Engineering 3Y
 
Introduction to Occupational Safety. Individual Protection.
Fire Safety. Occupational Hygiene.


Logistics (5 ECTS)
Code:7597 Integrated Master’s in Industrial Management and Engineering 3Y

Introduction .Logistics: Introduction and planning. Logistics customer service; Distributions systems; Location strategy; Order processing and Information Systems; Transport planning; Storage and handling decisions. Forecasting: Introduction.
Forecasting methods.


Advanced Quality Engineering and Management
(5 ECTS)

Code:7608 Integrated Master’s in Industrial Management and Engineering 4Y

Quality planning. Motivation for quality. Management and Leadership Workshops. Quality Circles. Special control charts. Short run SPC. CUSUM and EWMA charts. Essential elements of the Taguchi approach. Introduction to experimental design.
Simple practical example of application. Concepts of Metrology.  


Lean Production Systems (5 ECTS)
Code:6524 Master’s in Industrial Engineering (GI) 1Y

Measuring the performance of a production system. Dynamic Production. History of lean manufacturing. Principles of TPS. Concept of waste. The seven types ofwaste.Concept of takt time and cycle time. Little's Law. Value Stream Mapping. Methodology for Identifying Waste WIM. Production cell designs. Operating Modes and versatility in production cells. 5S technique. Standard Work. 5 Whys technique. Kanban and pull production.

Supermarkets and logistical convoys. Reducing setup times of the machines.
Production leveling. Continuous improvement. 



 




 


 
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