Assets Management

Code:

M.EM067

Acronym:

GA

Keywords
Classification	Keyword
OFICIAL	Management

Instance: 2023/2024 - 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	30	Syllabus	2	-	6	39	162

Teaching language

English

Objectives

The aim of this curricular unit is to provide students with an integrated overall view of the most common concepts,
techniques and strategies used in Asset Management. A decision support system for maintenance is presented in
order to allow students to solve the main maintenance management problems and to help them make the best
decisions in the scope of Asset Management.

Learning outcomes and competences

At the end of this course unit student are expected to be able to use the different tools presented throughout the
curricular unit in decision making to support maintenance management. In particular, students are expected to be able
to choose the best quantitative reliability, optimisation and other appropriate techniques. In addition, they should be
able to make a decision regarding the best planned maintenance strategies based on the acquired calculation tools.

Working method

Presencial

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

Statistics: Descritive statistics, deductive statistics and inference statistics.
Operational Research: Linear programming, optimization, Markov chains and queueing theory.

Computational Competencies
Excel

Program

Acquire skills in the use of tools and techniques for the analysis of physical assets
Analyze the current or expected reliability of a product, process or service, identifying actions to reduce the
occurrence of malfunctions and mitigate their effects;
Reliability modelling compounding “Engineer-driven” and “Data-driven” methods
Design for reliability
Reliability Growth
Bathtube curve
Reliability Testing and Management
Reliability Block Diagrams
Monitoring, simulation and optimization of the health (HI)
Estimating the assets Remaining Useful Life (RUL)
Identify the factors (internal or external, controllable or non-controllable) that influence the equipment behaviour
Reliability Centered-Maintenance
Optimization of maintenance strategy, management of spare parts and equipment replacement policies.
Maintenance policies.
TPM (Total Produtive Maintenance)

Mandatory literature

Armando Leitão; Failure Data Analysis, 2018
Armando Leitão; Luís Guimarães; Asset Management, 2019
Armando Leitão: Luís Guimarães; Degradation Modelling Continuous (2020)
Armando Leitão: Luís Guimarães; Degradation Modelling Discrete
Armando Leitão: Luís Guimarães; Block Replacement (2016)
Armando Leitão: Luís Guimarães; Equipment Replacement (2012)
Armando Leitão: Luís Guimarães; Event Tree Analysis (2020)
Armando Leitão: Luís Guimarães; FMEA and Risk Analysis
Armando Leitão: Luís Guimarães; Failure Tree Analysis (2020)

Complementary Bibliography

ULL; Maintenance, replacement, and reliability. ISBN: 0273316540
O.Connor, Patrick D. T.; Practical reliability engineering. ISBN: 0-471-95767-4
Ascher, Harold; Repairable systems reliability. ISBN: 0-8247-7276-8
Nakajima, S; Total Productive Maintenance, 1990

Teaching methods and learning activities

The concepts and tecniques are introduced through problems and case studies. Throughout the course some software maintenance-related packages are also presented. Computers, "datashow" and white board are used for teaching support. Two invited talks will take place on “Equipment replacement” and “Total Productive Maintenance”.

Software

Microsoft Excel

keywords

Technological sciences

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	70,00
Participação presencial	0,00
Teste	15,00
Trabalho escrito	15,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	123,00
Frequência das aulas	39,00
Total:	162,00

Eligibility for exams

Final Mark (FM) greater than 9,5
Evaluation formula 
FM=0,70*exam+0,15*assignement+0,15*test

Calculation formula of final grade

Better classification between the frequency classification and the final exam grade