Reliability, Availability, Maintainability (RAM) Studies

Reliability, Availability, and Maintainability (RAM) modelling evaluates how often plant components and systems fail, how long repairs take, and how these factors affect production availability and uptime. Using RAM insights, operators can improve system design, select reliable equipment, optimise maintenance plans, and align with key standards like IEC 61508, ISO 14224, ISO 20815, and API 581 to minimise downtime, optimise production, and meet performance targets.

Service information

Collect and interpret failure rate and repair data to calculate Mean Time Between Failures (MTBF) and Mean Time To Repair (MTTR)
Interrogate maintenance records, failure logs, and historical data to calculate site-specific MTBF and MTTR
Apply statistical methods such as Chi-Squared analysis to determine confidence intervals in reliability metrics
Undertake Equipment Criticality Analysis (ECA), HAZOP, Failure Modes and Effects Analysis (FMEA) and FMECA (with criticality) to uncover failure modes
Develop reliability block diagrams (RBDs), fault trees and Markov models for availability analysis of high-demand or continuous systems
Use industry standard software such as MAROS and Availability Workbench for Monte Carlo simulations
Assess production availability in accordance with ISO 20815 (production assurance)
Apply international standards and definitions such as those used in ISO 14224 (reliability data)
Inform reliability-centred maintenance (RCM) strategies to optimise maintenance and inspection intervals
Identify through-life cost savings by designing for failure tolerance and optimising spares holding requirements
Host tailored training workshops to build RAM and production availability expertise within teams

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