Reliability, Availability and Maintainability (RAM) | Management

Course Group: 
Reliability, Availability and Maintainability


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.

Who Should Attend

Course Outline

Presenter Background

Dates & Registration

Duration: 5 days

Delivery mode: Classroom


Advertised: Canberra

In-house: All states and neighbouring countries, contact the  for more information. Recommended for groups of 10 or more.

What you will receive:

Affiliated courses: RAM | Introduction (2 days), RAM | Practitioners (3 days), Introduction to Systems Engineering (3 days), Systems Engineering Practice (5 days)

*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

RAM Activities

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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