Maintenance and Asset Management

Code:

M.EGI009

Acronym:

GAM

Keywords
Classification	Keyword
OFICIAL	Operations Management

Instance: 2023/2024 - 2S

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

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M.EGI	104	Syllabus	1	-	6	45,5	162

Teaching language

English

Objectives

The effectiveness of the Maintenance of a Production Plant lies in its ability of assuring a certain required level of technical availability, and optimizing the entrepreneurial productivity and flexibility and the product’s quality itself. All the maintenance actions shall comply with defined strategic company goals andorganizational schemes.

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 the semester, students should be capable of:

-  Understand the role of Asset Management for the competitiveness of companies; have a global and integrated view of maintenance management (various types of maintenance, associated costs, planning and control).

 - Analyse the actual or expected reliability of a product, process or service, identifying the actions to reduce the failures and mitigate their effect;

- Acquire competences in using tools and techniques for the lifetime analysis of systems;

- Acquire competences in optimization techniques applied to asset management

- Acquire detailed knowledge of Total Productive Maintenance (TPM)

- Understand the critical factors of success when implementing TPM plans;

- Use tools and methodologies to support TPM, such as Kobetsu Kaizen, Autonomous Maintenance and Planned Maintenance.

 

Working method

Presencial

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

Operational Research

Statistics

 

Program

Maintenance Organisation and Maintenance Techniques.
Planning of maintenance activities; Maintenance costs; Maintenance Types: KPIs of efficiency.
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. Reliability Growth. Bathtube curve Reliability Testing and Management Reliability Block Diagrams.
Predictive Maintenance. Monitoring, simulation and optimization of assets’ condition.
Condition monitoring. Discrete and continuous models.
ETA, FTA; FMEA and FMECA.
Estimating the assets Remaining Useful Life (RUL).
Identify the factors (internal or external, controllable or non-controllable) that influence the assets’ behaviour.
Reliability Centered-Maintenance.
Optimization of maintenance strategy, management of spare parts and equipment replacement policies Total Productive Maintenance (TPM) 

Mandatory literature

Armando Leitão: Luís Guimarães; Failure Data Analysis, 2018
Armando Leitão: Luís Guimarães; Asset Management, 2019

Complementary Bibliography

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

Teaching methods and learning activities

The course relies on a combination of case discussions, lectures, readings, and assignments. Throughout the course some software maintenance-related packages are also presented. Computers, "datashow" and white board are used for teaching support. One invited talk will take place about “Total Productive Maintenance” and a visit to a company that excels in Maintenance Management will be organized.

Theoretical classes: Case studies discussion.

Practical classes: problem solving; 

keywords

Technological sciences
Technological sciences > Engineering > Industrial engineering

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	60,00
Teste	20,00
Trabalho prático ou de projeto	20,00
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=0,60* final test+0,20*assignement+0,20*intermediate test

There will be up to 2 bonus points for all students who correctly answer the question to be asked in 6 randomly selected theoretical classes without prior information. The first theoretical class does not enter the random selection process.

Calculation formula of final grade

Better classification between the frequency classification and the final exam grade.

Observations

The test with a weight of 20% will be in person