Search

    RAMS Engineering

71-75 Shelton Street,
Covent Garden, WC2H 9J London
Overview

RAM Analysis (Reliability, Availability and Maintainability)

About RAM Analysis (Reliability, Availability and Maintainability)

What is RAM analysis?

RAM analysis is a quantitative reliability engineering method applied to system level to model the asset performance as well as to define critical equipment which affects such system performance. The RAM analysis predicts the asset performance for a specified period of the life cycle which encompasses all equipment configuration. The performance indexes assessed in the RAM analysis are usually, efficiency production, operational availability and reliability.

What can you expect?

  • To understand and apply the Reliability, Availability and Maintainability concept as basic of equipment specification and asset performance Index.
  • To understand and implement the Reliability, Availability, Maintainability and Life Cycle Cost (RAM & LCC) methodology along different asset lifecycle phases.

  • To understand the impact of maintenance on system performance.
  • To model the system concerning equipment and component level by applying Reliability Diagram Block (RBD) and Fault Tree Analysis (FTA).
  • To optimise the asset performance based on preventive maintenance, inspection, spare part and LCC optimisation.

The RAM training can be customised to the client demand and be performed together with other training concerning a client cases study assessment.

Three-day training is proposed to cover the RAM analysis topics such as:

  • Lifetime data analysis applied to RAM analysis.
  • RAM analysis methodology steps
  • RBD and FTA modelling.
  • RAM analysis simulation.
  • Sensitivity analysis, such as logistic, spare parts, preventive maintenance impact on asset performance.
  • Asset performance optimisation based on preventive maintenance, spare parts and LCC optimisation.
  • Case studies applied to Oil and gas, transportation and aerospace and defence industries.
Contact Us