SAS is pleased to offer 2 Day Aircraft Reliability Systems – Understanding the Maths Workshop on January 18th & January 19th 2017 in Singapore.
Date: January 18th – January 19th 2017
Location: TPK Conference Centre – Cecil Street, Singapore
About the Training:
This intensive 2 day workshop will explain in detail and raise awareness regarding the management, oversight and methodologies involved in Aircraft Reliability Systems, together with a detailed range of demonstrations and mathematical exercises that are designed to provide the delegate with:
– A basic knowledge of statistical analysis, and how these principles are applied to reliability data.
– Using worked examples and raw reliability data, understand & apply the mathematical calculations associated with aviation reliability.
– Provide guidance and interpretation with regard to data and findings drawn from calculated results.
– Guidelines on how to use Standard & Alert Level Deviation principles to set Upper Control Limits.
– A demonstration of various forms of data display & reporting that is employed by the typical large aircraft operator with a view to AMP enhancement & optimization.
The course includes the following topics:
– Probability Basics
– Descriptive Statistics
– Charts & Graphs
– Tabular Displays
– Calculating Arithmetic Mean
– Calculating Standard Deviation – Population & Sample
– Mean Time to Failure (MTTF);
– Mean Time Between Failure (MTBF);
– Mean Time Between Unscheduled Removals (MTBUR)
– Mean Time To Removal (MTTR)
For more details about the training please see here
What the delegates said SAS training:
“Answer all the questions with real life examples”
“Presentation, Knowledge, Attitude – everything was great“
“All aspects were very useful“
“Perfect communication skills, good understanding of the background and the course material, perfect presentation skills”
Price per Delegate: 650 USD
See Applicable Discounts
For additional details regarding the proposed training course please see our website, contact us: office@sassofia.com or Call +359 28210806
