ENGINEER
SYSTEM
RELIABILITY
Build Reliability Block Diagrams, configure real component failure and repair data, then run Monte Carlo simulations to predict system behaviour over time — all in one integrated platform.
This Is Ramly — Not a Mock-up
A real example model and a real simulation result, exactly as they appear in the app. Every account includes five worked example models so you can explore before building your own.
From diagram to defensible numbers
- ▸Availability with uncertainty. Average plus P10 / P50 / P90 percentiles from thousands of Monte Carlo runs — not a single optimistic point estimate.
- ▸Convergence you can check. Confidence-interval width and a suggested run count tell you when the answer is stable enough to publish.
- ▸Reproducible by design. Fix the random seed and any colleague re-running the study gets the identical result.
- ▸Standards-based method. The RBD technique standardised in IEC 61078, built for production-assurance studies of the kind described in ISO 20815.
The Tools That Hold You Back
Hand-calculated MTBF and availability figures treat failure as deterministic. One wrong assumption and the whole study is wrong — with no way to know.
Leading RAM tools require a Windows install, an IT ticket, a site license, and a week to configure. By the time the software is ready, the design window has closed.
Evaluating 1+1 vs 2+1 redundancy, different storage sizes, or PM interval trade-offs means duplicating workbooks and reconciling results by hand.
From Diagram to Decision
Drag and drop blocks onto the RBD diagram to build your Reliability Block Diagram. Define series, parallel and k-of-n configurations. The diagram updates live as you build.
- Drag-and-drop block editor
- Series / parallel / k-of-n logic
- Subsystem grouping & nesting
- Import from plant data
- Visualised in real-time
Enter failure rates, repair rates, MTTF, MTTR and distribution types for every block. Weibull, exponential, lognormal — plug in field data or use industry defaults.
- Weibull / exponential / lognormal
- MTTF · MTTR · Availability inputs
- Maintenance strategy modelling
- Spares & logistics parameters
- Validated against IEC 60300
Configure simulation horizon, iterations and seed. Get confidence intervals, sensitivity analysis and importance measures. Export results to PDF or Excel.
- Monte Carlo engine, up to 10M runs
- Live animated failure/repair events
- Confidence interval reporting
- Sensitivity & importance analysis
- PDF / Excel export ready
Everything a RAM Engineer Needs
Visual drag-and-drop editor with series, parallel and k-of-n logic. Nest subsystems. Copy structures. Build complex architectures fast.
Up to 10 million iterations. Weibull, exponential and lognormal distributions. Confidence bands tell you when the result has converged.
Availability, MTTF, MTTR, reliability curves, sensitivity tornado and Birnbaum importance measures — all in one results view.
Preventive maintenance intervals, spare holdings, crew logistics and their direct impact on system availability.
Outputs aligned with IEC 60300 and API 689. Audit-ready PDF/DOCX reports for regulatory submission and FEED deliverables.
Browser-based. No install required. Open a tab and start your study. Teams collaborate on the same model in real-time — no shared drives, no version conflicts.
PDF reports, Excel tables, DOCX and raw simulation CSV. Import component types from OREDA library or your own data.
Session auth, tier-based quotas, audit-ready usage logs. Trusted in oil & gas, power generation, pharma and defence.
Built for the Engineers Who Run RAM Studies
Oil & gas, power generation, process chemicals, manufacturing — wherever system reliability matters
- ▸Size storage buffers for target availability
- ▸Justify 1+1 vs 2+1 redundancy with numbers
- ▸Determine minimum spare holding levels
- ▸FEED studies for new plant or major modifications
- ▸Quantify reliability impact of cost-cutting options
- ▸Current system availability quantification
- ▸Identify the weakest link using importance measures
- ▸Model proposed modifications before committing CAPEX
- ▸Common-cause failure and CCF group assessment
- ▸Throughput loss and production risk reporting
- ▸PM interval optimisation — find the right frequency
- ▸Crew sizing — how many repair crews are enough?
- ▸Spare replenishment frequency and stockout risk
- ▸Cost of downtime vs preventive maintenance trade-off
- ▸Sensitivity to MTTR and logistics delay assumptions
Plans launching with full release
Beta testers get full Professional access for free during the beta period. Pricing will be confirmed before public launch.
Starter
Explore the tool at your own pace.
- Monte Carlo simulation
- RBD editor
- PDF & DOCX reports
Professional
For individual engineers running serious studies.
- Everything in Starter
- Unlimited component types
- Up to 100,000 simulations per run
- Scenario comparison
- CSV & Excel import
- Priority support
Team
For reliability teams sharing models and results.
- Everything in Professional
- Pooled quota across team
- Centralized billing
Beta testers get full Professional access — free
Email us to request an invite code. We are onboarding teams on a rolling basis.
Enterprise
Custom seat count · Unlimited runs · On-premise option · Dedicated support · SSO
Already have an invite code? Register here →
Join the Engineers
Already Testing Ramly
We are onboarding reliability engineers and operations teams in a closed beta. Send us a note and we will get you set up with an invite code.
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