Reliability, Availability and Maintainability (RAM) Practitioners
Presenter: Dr Chris Jackson
12-19 April 2024 | 14-20 September 2024
The course will be delivered virtually on the working days within this period from 8:00am to 12:00pm AEST
Click Register now to register individually or to register groups of up to 15.
If the current course dates don’t suit, click Express Interest to go on the waiting list for a future course.
Duration: 24 Hours | Price: $2,970
Course Aim
The 24-hour RAM Practitioners Course is all about planning and implementing the vital few reliability engineering activities that will ultimately create reliable systems, products, machines, services or processes. This includes an overview of probability, statistics, test planning, key Design for Reliability (DfR) activities and several other related topics.
Most people think that reliability engineering only deals with ‘failures’ that occur in the hands of our users or customers. But reliability engineering is all about preventing problems. A problem identified by our customers or users is a failure. A problem we identify in our final production run before launch is an expensive and time-consuming crisis. A problem that we never allow to happen is the ‘reliability mindset.’
Attendees will be taught to focus on the ‘vital few’ ways our product, system, service or process can fail. Which means we only need to worry about the ‘vital few’ things we need to do to quickly and cheaply increase reliability. The key focus is being able to understand the probabilistic nature of reliability performance, and analyse failure data to inform key decisions. This includes understanding key probability distributions (such as the Weibull distribution) and being able to use this knowledge to do things such as design reliability tests.
The RAM Practitioners Course combines with the RAM Introduction Course as part of our 40 hour ‘RAM Course.’
Course Outline
How do we stop failure happening? Causality | Failure Mode and Effect Analysis (FMEA) 101 | Reliability Allocation | Smart Design
How do we tolerate things not being perfect? Fault Tolerance | System Reliability Modelling | Arithmetic and other math stuff | Basic Probability and Stuff | System Reliability Analysis
How do we describe (random) failure? How we describe what random looks like | The exponential distribution | The normal distribution | The lognormal distribution | The Weibull distribution
How do our components fail? Reliability Life Models | Reliability Data Collection and Classification | Reliability Testing | Root Cause Analysis (RCA) and Failure Reporting and Corrective Action System (FRACAS)
How reliable are our components? … and our system? Probability plotting 101 (Statistical Inference) | Probability plotting exercise | Confidence in our conclusions | Manufacturing for Reliability
How do we keep our things working? Maintaining for Reliability | Discrete probability distributions | Logistics Engineering | Reliability practice. Creation. Success.
Course Material
The following resources will be provided to attendees of this course:
An editable PDF course workbook
MTBF Demonstration Testing Template (Microsoft Excel) – licensed for student use only
Reliability Demonstration Testing Template (Microsoft Excel) – licensed for student use only
Weibull Plotting Paper