Reliability, Availability and Maintainability (RAM) | Management
The aim of this course is to provide an understanding of RAM management activities to ultimately improve the performance of materiel systems. This course will cover both 'design for RAM' and 'RAM verification' activities to include the perspectives of both the producer and the customer. This course will include an introduction to basic RAM mathematics, but the overall focus will be on informing engineering and logistic decision makers who are responsible for materiel system RAM performance. In addition to expanding on RAM activities and considerations, a simulated exercise that reinforces RAM engineering considerations will be applied to real-life materiel system development and assurance. The exercise will include 'investigative' RAM data analysis (such as that to inform a design team charged with improving RAM performance) and 'assurance-based' RAM data analysis (such as a test and evaluation regime imposed by a customer as a gate for acceptance). This exercise will include both individual and group components.
Duration: 5 days
Delivery mode: Classroom
In-house: All states and neighbouring countries, contact the Professional Education Course Unit for more information. Recommended for groups of 10 or more.
What you will receive:
- Comprehensive course notes
- UNSW Canberra certificate of completion/attendance*
- Morning tea, lunch and afternoon tea
- Masters credit: UNSW Canberra allows students who have successfully completed a minimum of 12 days of approved professional education courses to use those courses as credit in eligible postgraduate programs.
*pending final results
Anyone looking at implementing organisational RAM programs in support of existing business objectives and goals, including, but not limited to;
|Business managers||Project technical staff|
|Project managers||Systems engineers|
|Capability development staff||Hardware and software engineers|
RAM Engineering Introduction
History and the 'value' of RAM | Benefits and relevance of RAM engineering | RAM engineering context and process
RAM Mathematics and Statistics
Fundamental RAM mathematics | Introduction to statistics | Key probability distributions | Monte Carlo Simulation
Reliability modelling | RAM testing and confidence intervals | RAM requirements engineering | Design for Reliability (DFR) – reliability allocation | Introduction to Reliability Centred Maintenance (RCM) | RAM data management
RAM System Modelling and Analysis
Fault trees and Reliability Block Diagrams (RBDs) | Repairable System Analysis | Reliability Growth Modelling
RAM Organisational Considerations and Maturity
Dr. Jackson received his Ph.D. in Reliability Engineering from the University of Maryland’s Center of Risk and Reliability. He is currently the Acting Director of the Center of Reliabiltiy and Resilience Engineering at the University of California, Los Angeles. He has had an extensive career as a Senior Reliability Engineer in the Australian Defence Force, and is the Director of Acuitas Reliability Pty Ltd. He has supported many complex and material systems developed their reliability performance, and assisted in providing reliability management frameworks that support business outcomes. He has also led initiatives in complementary fields such as systems engineering and performance based management frameworks (PBMFs). He is currently investigating new research concepts that include machine learning informed reliability engineering, dynamic Bayesian belief networks (DBBNs) and organizational value decision making.
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