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(formerly Quantitative Risk and Reliability Techniques)
Testimonials
"This course provided me with an understanding of how I can assist my organization to be best-in-class."
-Robert F. Errera, Director of EH&S, Air Liquide America Corporation
"I have taken many courses from many vendors. This course is the fourth that I have taken from ABS Consulting Training Services (Formerly PSI). Once again, ABS Consulting Training Services confirms its superiority as a training organization with this right-on-the-target course. This is the best risk assessment course in the nation."
-Sidney Andrews, Safety Engineer, Naval Ordnance Center
Course Description
Learn how to estimate accident frequencies, system failure probabilities, and critical component importances.
Quantitative Answers to Your Questions
How many failures should you expect over a 1-year period? What is the chance of system failure during the next week? What is the chance of not completing the repair job before the scheduled restart date? Do you have critical spare parts on hand? Which components are most critical to system operation? Most critical to maintain? If you need quantitative answers to questions like these, this course will show you how to get them. You will learn how to estimate in probabilistic terms the likelihood of a variety of types of system failures. You will also learn how to identify the systems, subsystems, and components that contribute the most to your loss exposure. You will leave the course with the skills to make more precise judgments than you can make with qualitative tools alone.
Model System Level Failures
The first day provides the background and skills necessary to understand risk and reliability terminology and to use system-level tools such as fault tree analysis, event tree analysis, and layer of protection analysis (LOPA) to model the system-level failures of interest.
Basic System Reliability Characteristics
The second day focuses on calculating basic system reliability characteristics. Specifically, you will learn how to use component failure and human error data to estimate overall reliability characteristics for systems. You will learn to calculate system reliability, availability, expected number of failures, mean time to failure, and dependability. Measures of importance for determining the largest contributors to unreliable system performance will be reviewed. In workshops, you will apply the calculation methods to answer practical questions posed by engineering, maintenance, and operations departments.
Analyzing Component and Human Error Data
Additional course topics (during the remaining 2½ days of the course) include the collection and quantitative analysis of component and human error data at the basic event level. Basic statistics and probability theory necessary to appropriately characterize component failure rates and likelihoods will be demonstrated. Among the methods you will learn about is Weibull analysis. In addition, you will also learn how to obtain failure data from sources outside your company (e.g., sources of generic failure data).
Estimate Human Error Probabilities
You will learn ways of quantitatively estimating how often certain types of human errors will occur. You will learn basic human reliability theory and ways of characterizing how likely human errors are. You will also explore sources of quantitative human reliability data. The class summary includes a discussion and workshop involving the combination of frequency and consequence results to present risk.
Five Reasons for You to Attend
- Build on your knowledge of qualitative hazard evaluation methods to discover when and how to quantify the results
- Derive a clearer understanding of risks associated with your processes
- Learn to distinguish between cost-effective and costly solutions for your facility's risk or reliability concerns
- Gain a clear understanding of the most critical aspects of your processes
- Learn to develop fault trees and event trees and also to solve fault trees quantitatively
Prerequisite(s)
Participants should have the equivalent of a bachelor's degree in science, engineering, or mathematics, and a working knowledge of qualitative risk analysis methods (equivalent to previous attendance at Hazard and Accident Analysis; Process Hazard Analysis Leader; Advanced PHA Leader; or a similar course). Previous experience with probability theory or statistics is helpful but not required.Attendees should bring a scientific calculator to the course.
How You Will Benefit
- Leave the course with the ability to objectively judge the value of system improvements
- Be able to estimate the likelihood of rare, high-impact events
- Be prepared to identify where system modifications are needed
- Come away from the course with these valuable materials:
- A copy of the comprehensive course notes
- Solutions to the example problems
- A certificate of completion
Accreditation:
3.1 CEUs, 3.1 COCs, 5.85 CMs, ABIH approval #10-243 |
