Degree | Type | Year | Semester |
---|---|---|---|
2501233 Aeronautical Management | OT | 4 | 1 |
Basic statistical knowledge is recommended as well as the ability to read (and understand) technical texts in English.
It is widely known by professionals in the industrial sector that the incorporation of Reliability, Availability and Maintainability characteristics in the design stage of a system and its components is the best way to ensure that this system has an adequate long-term cost-effectiveness ratio. Under this motivation, this subject aims to study the main theoretical foundations associated with the concepts of reliability, availability and maintainability, and their relationship with the effectiveness of the systems. Additionally, its application will be applied to practical cases.
PART I: STATISTICAL BASIS
1. Fundamental concepts
1.1. Time of life
1.2. Reliability function
1.3. Average life
1.4. Failure rate
1.5. Relationship between concepts
1.6. Censored observations
2. HABITUAL STATISTICAL DISTRIBUTIONS
2.1. Exponential distribution
2.2. Weibull distribution
2.3. Distributions Gama and k-Erlang
2.4. Log-normal distribution
3. GRAPHICAL DATA IDENTIFICATION AND DESCRIPTION
3.1. Probability graphs
3.2. Graphical description of data
PART II: MMF IN COMPONENTS
4. PARAMETRIC DATA ANALYSIS
4.1. Estimation of parameters in complete observations
4.2. Estimation of parameters in censored observations
5. NON-PARAMETRIC DATA ANALYSIS
5.1. Estimation of reliability in complete observations
5.2. Estimation of reliability in censored observations
6. SOFTWARE AND ONLINE RESOURCES
6.1. Software
6.2. Online resources
PART III: MMF IN SYSTEMS
7. SIMULATION OF DISCRETE SYSTEMS
7.1. Basic definitions
7.2. Advantages of simulation
7.3. Phases of a simulation
7.4. Monte Carlo simulation
7.5. Simulation of Discrete Events
7.6. Key aspects in a simulation
7.7. Verification, validation and credibility
7.8. Simulation software
7.9. Practical examples of systems simulation
8. RELIABILITY AND AVAILABILITY OF SYSTEMS (I)
8.1. Basic systems structures
8.2. Consistent systems
8.3. Roads and cuts
8.4. Importance of the components
8.5. Systems decomposition
9. RELIABILITY AND AVAILABILITY OF SYSTEMS (II)
9.1. Introduction of the time variable
9.2. Assumption of independence
9.3. Availability in basic structures
9.4. Inclusion-exclusion principle
9.5. Availability versus reliability
9.6. Two alternative approaches
9.7. Reliability of basic structures
9.8. Reliability of systems through simulation
9.9. Basic concepts of availability
9.10. Availability of systems through simulation
10. SOFTWARE AND RESOURCES ONLINE
10.1. Software
10.2. Online resources
PART IV: RAM OPERATIONAL MANAGEMENT
11. APPLICATIONS OF RAM SIMULATION
11.1. Reliability of complex systems through simulation
11.2. Availability of complex systems through simulation
11.3. Application examples in real systems
12. REVIEW OF SCIENTIFIC ARTICLES ON RAM MANAGEMENT
12.1. Articles on RAM management in the industry
12.2. Articles on RAM management in services
Teaching will be offered on campus or in an on-campus and remote hybrid format depending on the number of students per group and the size of the rooms at 50% capacity.
The methodology of the subject is based on a combination of theoretical and practical classes. During the theoretical classes, the professor will present the fundamental concepts of the assignment, whereas, in the practical classes, students will be those who, working individually or in small groups, will carry out the activities and exercises proposed during the course.
Will be encouraged to work in collaborative groups, the use of ICTs, and also the use of specialized software (eg: R, MINITAB, Excel, SREMS, SAEDES, etc.).
The proposed teaching methodology may undergo some modifications according to the restrictions imposed by the health authorities on on-campus courses.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Practical sessions (Classroom & Labs) | 24 | 0.96 | 4, 8, 9, 10, 6, 5, 11, 2, 12, 17, 18, 13, 14, 15, 20, 22, 21 |
Theoretical sessions | 26 | 1.04 | 3, 8, 9, 10, 6, 5, 11, 2, 16, 17, 18, 13, 21 |
Type: Supervised | |||
Tutorship | 18 | 0.72 | 7, 10, 6, 5, 11, 2, 12, 17, 18, 13, 20, 23, 21 |
Type: Autonomous | |||
Study | 80 | 3.2 | 1, 4, 3, 7, 11, 2, 17, 19, 13, 15, 20, 22, 23, 21 |
The proposed evaluation activities may undergo some changes according to the restrictions imposed by the health authorities on on-campus courses.
See description in Spanish or Catalan
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Lab practices | 40% | 0 | 0 | 1, 4, 3, 8, 9, 7, 10, 6, 5, 11, 2, 16, 17, 19, 13, 15, 20, 22, 23, 21 |
Problem-solving | 30% | 0 | 0 | 1, 4, 3, 8, 9, 7, 10, 6, 5, 11, 2, 16, 12, 17, 19, 18, 13, 14, 15, 20, 22, 23, 21 |
Theoretical exams | 30% | 2 | 0.08 | 4, 3, 8, 9, 7, 10, 6, 5, 11, 2, 12, 17, 19, 18, 13, 15, 20, 23 |