Reliability and safety of production systems
Academic Year 2023/2024 - Teacher: NATALIA TRAPANIExpected Learning Outcomes
The course has the aim to give knowledge and skills on risk management and plant safety, through theoretical knowledge and practice about methodologies for risk analysis, technical and organizational aspects of plant safety, job safety and maintenance management.
Course Structure
Theoretical lessons and exercises will be the base for developing teamworks about safety on the job or safety of industrial plants.
If teaching is given in mixed or distance learning, variations may be introduced with respect to what was previously stated, in order to respect the program envisaged and reported in the syllabus.
Required Prerequisites
Prerequisites: none.
Basic knowledge of combinatorics, probability calculus and statistics are useful.
Attendance of Lessons
The student is required to attend the lessons of the course according to the Academic Regulations of the Master's Degree Course in Management Engineering.
Attendance is compulsory and attendance will be surveyed by the teacher by specific tools.
Detailed Course Content
Introduction to safety.
Basic course on combinatorial calculation, probability and statistics.
Theory of reliability: reliability functions and Mean Time To Failure. Assessment of reliability functions for the most common reliability systems.
Application of the Markov theory to the systems reliability.
Safety related systems.
Risk analysis methodologies for complex systems: qualitative (HAZOP, FMEA) and quantitative (FTA) techniques. Checklists.
Legislative aspects on job safety and health at work. Specific risks and operational aspects.
Introduction to maintenance concepts and availability. Maintenance policies and strategies.
Legislative aspects of plants subjected to major accidents.
Exercises on system reliability and Fault Tree Analysis.
HAZOP study of an industrial plant section or Risk Analysis
Textbook Information
T1. Castellani A., Reliability Theory and Risk Analysis, Aracne Editrice, 2014, ISBN 978-88-548-7205-9. http://www.aracneeditrice.it/aracneweb/index.php/pubblicazione.html?item=9788854872059
Course Planning
| Subjects | Text References | |
|---|---|---|
| 1 | All topics are presented in the course teaching material. Detailed planning will be provided during the lessons. | D1. Lecture notes and slides are available on the Studium Portal(http://studium.unict.it/) |
Learning Assessment
Learning Assessment Procedures
An ongoing test (about 1 hour and a half) during the course about numerical exercises.
The grade of the test in progress will contribute to the formulation of the grade proposed in place of the numerical test.
Exams after the delivery of the course:
- Final written test (about 2 hours: 1 hour for the theory part; 1 hour for the numerical exercises part, if the ongoing test has not been taken and passed).
- Discussion of the projects (about 30 min): on a different date from the written test (before or after it) to present team and/or individual works.
Students who pass the written test (ongoing or final) and present their projects are given a grade and passing the subject.
The verification of learning can also be carried out electronically (discretion of the teacher), should the conditions require it.
Examples of frequently asked questions and / or exercises
On the Studium portal the following are available to students:
- a "practice for students" relating to the theoretical part
- the texts of the exams of three academic years