Data-Driven Asset Reliability

Maintaining asset reliability is critical for keeping your facility functional and profitable. Leveraging Pinnacle’s data-driven reliability framework ensures your asset reliability strategies are based on the most accurate risk calculations, helping you to confidently plan maintenance activities and maximize reliability, availability, and return on investment.

Many asset reliability programs suffer from over-conservatism, unorganized data, and wasted maintenance spend.

Current models are over conservative, resulting in non-value adding activities and wasted maintenance spend

Leaders struggle to identify where to prioritize spending to get the greatest return on investment and achieve optimized asset lifecycle costs

Most asset reliability programs focus on individual assets and do not evaluate how certain actions will impact system performance

Our data-driven reliability framework ensures your asset reliability strategies are based on the most accurate risk calculations, helping you to confidently prioritize activities that will provide the greatest value.

The first step of the framework includes digitizing and organizing data. The data is then fed into intelligent models that combine reliability data science and engineering to provide more accurate risk calculations and an understanding of system-wide impact, leading to improved maintenance planning and resource allocation.
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Increasing Profitability by $12mm Through a Risk-Based Reliability Improvement Project

Learn how we helped a U.S. lubricant manufacturing and packaging facility increase their asset utilization and profitability.

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Explore More Information about Data-Driven Reliability

Data-Driven Reliability: Reliability Done Right

Data is the lifeblood of any maintenance or reliability program. Now, a paradigm shift is occurring in the way data is used to achieve reliability. This article explains how you can leverage this shift to implement data-driven reliability at your facility. Learn More →

Quantitative Reliability Optimization (QRO)

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 is the methodology applied by the data-driven reliability framework. Learn More →

Utilizing Quantitative Reliability Optimization to Better Drive Facility-wide Reliability and Maintenance Budgets

How can leaders decide which budget areas to adjust when asked to reduce spending across their operations? QRO is an approach that enables reliability and operations leaders to make smarter and more confident reliability decisions. This approach quantitatively balances process safety availability targets with maintenance and reliability investments. Learn More →

Pinnacle Process to Getting Started

30 Minutes
10 Days
100 Days
Ongoing

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