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

To accomplish the things mentioned above, QRO focuses on three fundamental evolutions: quantitatively measuring the uncertainty that every data point has on each and every asset in our facility, understanding how every data point impacts our predicted failure of an asset and doing this as close to real-time as required, and connecting every asset together into one system model.

QRO is facilitated by Pinnacle’s world-class reliability platform, Newton™.

Uncertainty-Driven Models

Dynamic

Identify trends, measure uncertainty based on every data point, and compare actuals versus baselines

More credible probability of failure

Understand statistical probability of failure at any point in time and compare against business milestones

Data agnostic

Evaluate the impact of every data point on an asset’s performance

Connected Systems and Data

Integrated data

Consider the entire data set’s behavior and its impact on every uncertainty model

Live data

Data is ingested automatically and kept as close to real-time as required

Measurable impact

Understand the value of data and measure the variability of process or abnormal conditions and its impact on asset performance

System-Level Strategies

System model

Integrate single assets into a system model

Connected facility

Provides a mathematical relationship across every asset, enabling the ability to prioritize every action

Goal seek reliability

Prioritize activities across your entire facility based on production, cost, and risk constraints

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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