Quantitative Reliability Optimization empowers better reliability decisions for industrial facilities.

Quantitative Reliability Optimization (QRO) represents an evolution in modeling that brings the best of Risk-Based Inspection, Reliability Centered Maintenance, Reliability Availability Maintainability, and Multi-Variate Machine Learning into one model.

QRO combines every facet of system reliability and dynamically updates as new data is entered. Allowing operators the ability to understand how every data point and activity impacts facility performance, resulting in a continually evergreened reliability plan focused on maximizing return on reliability investment while maintaining safe operations.

What Quantitative Reliability Optimization Empowers You to Do

Economically Justify All Reliability Plans

Understand the economic value of every maintenance, inspection, or reliability focused redesign at your facility

Model Complex Reliability Scenarios

Optimize your reliability plans based on new design, different feedstock, pushed turnarounds, or market shifts

Drive Facility Sustainability

Understand the spend and planning required to sustain a reliable, safe, and environmentally friendly facility

More Clearly Drive Digital Transformation

Understand the data that is truly valuable to reliability and process safety and tap into and model off of that data

Provide a Common Reliability Language

Empower your team to collaborate with safety, operations, finance, and management to create value-driven reliability plans

Better Leverage Expertise

Use data to drive reliability decisions while focusing expertise on model refinement or reducing data uncertainty

Reliability Model Comparison

How QRO Works

Quantitative Reliability Optimization (QRO) is a dynamic reliability analysis model that synthesizes and expands upon the best elements of other existing reliability models while introducing new data science and analytical concepts to drive improved and strategically balanced availability, process safety, and spending performance.

Asset Risk Analysis (ARA)

An Asset Risk Analysis, or an ARA, integrates first principles engineering analysis and asset data with field execution limitations and operational constraints to build the foundation or our reliability operating basis.

What is an Asset Risk Analysis (ARA)?

Lifetime Variability Curve (LVC)

A Lifetime Variability Curve, or an LVC, quantifies predicted failure using data science principles, leverages historical information or no data, and updates dynamically as new data enters the system, resulting in a more realistic and dynamic end of life prediction

What is a Lifetime Variability Curve (LVC)?

Forecasting System Availability

Forecasting System Availability creates a dynamic cause and effect link between every data point and the facility, allowing operators to model how each asset, component, or data point impacts facility performance

Forecasting System Availability with QRO

Reliability Simulation and Performance Optimization

Reliability Simulation and Performance Optimization uses the causal links created, to simulate events and identify optimized plans to drive the highest performance at the lowest cost, while ensuring operational safety

Reliability Simulation & Performance Optimization with QRO

Download the QRO Executive Brief

As the world’s largest industries place an even bigger emphasis on lowering costs while sustaining operations, companies strive to ensure that reliability and maintenance investments are in the right places and result in increased performance. See how QRO is helping facilities achieve the balance between maximized operating time and the investment to achieve that run time.

Download the QRO Executive Brief

As the world’s largest industries place an even bigger emphasis on lowering costs while sustaining operations, companies strive to ensure that reliability and maintenance investments are in the right places and result in increased performance. See how QRO is helping facilities achieve the balance between maximized operating time and the investment to achieve that run time.

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