COURSE SYLLABUS – PLANT RISK AND RELIABILITY MDB 4433
Course Name Plant Risk and Reliability
Course Code MDB4433Z (14 Weeks)
AP Dr Masdi Muhammad
Mechanical Engineering Department
Office: 17-03-08
Lecturer Phone: 05-3687058
Email : masdimuhammad@utp.edu.my
Consultation : Thursdays 2pm-4pm or by appointment.
This course is designed to equip the students with the fundamental of plant risk and reliability. This course
Rationale provides introduction to the theories of Risk, Reliability, maintenance and maintainability and their
application in Plant operations.
Semester & Year
7/4
Offered
Face To Face Student Independent Total Guided and
Total Student
Lecture(L) Tutorial(T) Others(O) Learning(SIL) Independent Learning
Learning Time
(SLT)
42 31 47 120
Credit Value 3
Prerequisite Probability and Statistics, Manufacturing Technology II
i. Appraise reliability risk and maintenance issues for complex mechanical engineering systems
ii. Analyze and interpret data from complex engineering system in the context of risk and reliability
Objectives
iii. Assess risk and reliability of plant using appropriate modelling techniques.
iv. Evaluate the adaptation of new technologies to plant risk and reliability assessment
At the end of this course, students should be able to:
CLO1 Appraise reliability, risk and maintenance issues for complex mechanical engineering systems
Course Learning CLO2 Analyse and interpret data from complex engineering system in the context of risk and reliability
outcomes (CLO)
CLO3 Assess risk and reliability of plant using appropriate modelling techniques
CLO5 Evaluate the adaptation of new technologies to plant risk and reliability assessment
Skills How they are developed Assessment method
Presentational Group work, discussion Presentation
Transferable Skills
Mid-Term examinations and project
Critical thinking Discussion and debate
paper
Teaching-learning Teaching
and assessment Learning
1|P a g e
COURSE SYLLABUS – PLANT RISK AND RELIABILITY MDB 4433
strategy i. Coursework*: 50% that include Assignments/Quizzes (6%),
Project (14%), Tests (30%)
Assessment
ii. Final Examination (3 hrs): 50%
*subject to change as needed
Assessing plant risk and reliability is critical in maintaining a desired level of performance for what you want
Synopsis your assets to provide at the lowest life cycle cost and risk. This course will introduce the fundamental of
risk and reliability assessment for equipment and plant as a system
Mode of Delivery
(Lecture, Tutorial,
Lecture, Tutorial
Workshop,
Seminar, etc.)
Assessment i. Coursework (Assignment/Case studies, Project, Tests, Quizzes)- 50%
Methods and ii. Final Exam – 50%
Types
COURSE OUTLINE
Hours
Content outline of the course and the SLT per topic
L T O SIL SLT
Introduction to Risk and Reliability Engineering (Week 1)
Course Introduction
Definition of Risk and Reliability and other related terms 3 3 6
Failure rate and hazard rate
Bathtub curve
Reliability Mathematics (Week 2 and 3)
Concept of Probability
Probability Plotting
Common Statistical distributions for reliability
Reliability Measures
Failure rate/Hazard Rate 6 3 6
BX life
Mean time to failure
Reading assignment, Quiz 1
Project Grouping
Assignment 1 (Due 24/1/2020)
Reliability Analysis for non-repairable component (Week 4 and 5)
Life data Classification
Ranking of data
Parameter estimation 6 2 4 14
Confidence bounds
Goodness of Distribution fit
Assignment 2
Monte Carlo Simulation (Week 6)
Monte Carlo Simulation Basics
Sampling a statistical distribution 3 2 4 11
Basic Steps in performing a Monte-Carlo Simulation in Reliability
Exam 1 (6/2/2020, 5pm-6:30pm), Project assignment
2|P a g e
COURSE SYLLABUS – PLANT RISK AND RELIABILITY MDB 4433
Reliability Prediction and Modelling of Repairable system
(Week 7 and 8)
Repairable system
Stochastic Point Process
Homogenous Poisson Process
6 2 4 12
Non-Homogenous Poisson Process
Reliability block diagram (RBD) for system reliability
Quiz 2 (Paired testing)
Assignment 3
Maintainability, Maintenance and Availability (Week 9 and 10)
Maintainability Analysis
Types of maintenance
Downtime and downtime distributions
6 4 4 16
System availability assessment
Quiz 3
Assignment 4
Adjunct Lecture (11/3/2020, Ms Noor Eizza from PETRONAS)
Risk Management and Risk Analysis (Week 11 to 14)
Risk management processes
Risk management methodology
Risk identification and assessment
Quantitative risk assessment
Fault tree analysis (FTA)
Event Tree Analysis (ETA) 12 4 4 14
Failure mode effect criticality analysis (FMECA)
Assignment 5
Exam 2 (19/3/2020, 5pm-6:30pm),
Project Presentation
Total Lecture Hours and Student Learning Time 42 23 31
Total Guided and Independent Learning 120
1. O’Connor, P. and Kleyner, A. 2012, Practical Reliability Engineering, 5th Edition, Wiley, New
Jersey
Main reference
2. Rausand, M. and Hoyland, A. 2004, System Reliability Theory: Models, Statistical Methods
and Applications, 2nd edition, , Wiley, New Jersey.
1. Moubray J, Reliability-centered Maintenance, 2nd edition, 1997, Butterworth
Additional Heineman
references 2. C. Ebeling, An Introduction to Reliability and Maintainability Engineering,
International Edition, 1997, McGraw-Hill, Singapore
3|P a g e
