RAM Analysis: Reliability, Availability and Maintainability
Know how much your plant can really produce, and what to change to produce more.
What is RAM analysis?
RAM analysisis the quantitative study of a system's Reliability, Availability and Maintainability. It models how equipment fails, how long it takes to restore, and how redundancy, spares and maintenance strategy combine to set how much of the time a plant can produce. The result is a defensible availability and production forecast that you can use to compare designs, purchases and maintenance strategies before money is spent.
Why RAM analysis matters
In oil and gas, mining, utilities, chemicals and defense, a few percentage points of availability are worth more than most cost-saving programs. A RAM analysis shows where those points are lost, which equipment and failure modes drive the loss, and what each remedy is worth. It replaces the question "is this equipment reliable?" with the question that matters to the business: "how much production and value do we gain or lose with each option?"
What you get from a RAM analysis
System availability and expected production
Availability and throughput for the whole system and for each unit, calculated from failure and repair behavior rather than from nameplate capacity.
Ranked contributors to lost production
A prioritized list of the equipment, failure modes and maintenance practices that cost the most production, so effort goes where it pays back.
Design and configuration comparison
Redundancy, buffer capacity, sparing and equipment selection tested against each other before capital is committed.
Maintenance and turnaround strategy impact
The effect of inspection intervals, maintenance policies and turnaround scope on availability and cost over the asset life.
Results under uncertainty
P50, P80 and P90 outcomes, so decision makers see the range of results and not a single optimistic number.
Link to life cycle cost and EBITDA
Availability results carried into life cycle cost and financial outcomes, so options are compared on value and not on capital cost alone.
How we perform a RAM analysis
We build RAM models with RAMgen, our standardized RAM modeling methodology, so results are consistent and comparable across units, sites and asset fleets.
1. Define the system and the decision
We agree the boundary of the study, the production target and the decision the analysis has to support, whether that is a design choice, a purchase or a maintenance strategy.
2. Build the reliability structure
The system is decomposed into units and equipment with their failure and repair behavior, using your data where it exists and structured engineering judgment where it does not.
3. Simulate operating scenarios
The model is run across operating modes and options to produce availability, production and downtime results with confidence intervals.
4. Rank, compare and recommend
Results are ranked by their effect on production and value, and options are compared so the recommendation is traceable to the numbers.
5. Keep the model alive
The RAM model can be handed to your team or operated for you, and extended into a decision support system as new data arrives.
When you need a RAM analysis
RAM analysis frequently asked questions
What is RAM analysis?
RAM analysis is the quantitative study of a system's Reliability, Availability and Maintainability. It models how equipment fails, how long it takes to restore, and how redundancy, spares and maintenance strategy combine to determine how much of the time a plant or system can actually produce.
What is the difference between RAM analysis and RAM modeling?
RAM modeling is the construction of the model: the system structure, failure and repair distributions, and logic. RAM analysis is what you do with it, running scenarios and comparing designs, maintenance strategies and spare policies to produce availability, production and cost results with confidence intervals.
When is a RAM analysis needed?
Typical triggers are a new plant or expansion where availability must be proven before capital is committed, a revamp or debottlenecking study, a major equipment purchase with reliability guarantees, a maintenance or turnaround strategy review, and any decision where unplanned downtime has a material cost.
What does a RAM analysis deliver?
System and equipment availability, expected production or throughput, ranked contributors to lost production, the effect of redundancy, sparing and maintenance options, and results expressed as P50, P80 and P90 values so decisions can be made under uncertainty.
How does RAM analysis connect to life cycle cost?
Availability results translate directly into lost production and maintenance spend. Linking the RAM model to a life cycle cost model lets you compare options on cost and revenue over the asset life instead of on capital cost alone.
Related methods and reading
- RAMgen methodologyThe standardized framework we use to build consistent RAM models across asset fleets.
- RAM modeling explainedHow a RAM model is structured: reliability, availability and maintainability.
- RAM models as the foundation of value resilienceWhy RAM analysis sits underneath every sound lifecycle investment decision.
- Life cycle cost measurement and optimizationTurning availability results into cost and revenue over the asset life.
- Integrated decision support systemsLiving models that link RAM results to life cycle cost and EBITDA.
- Case studiesRAM and lifecycle work in LNG, power, gas processing and chemicals.