The NRX Blog
Boosting Asset Reliability Through Smarter Preventative Maintenance
A report from the U.S. Department of Energy reveals that preventative maintenance can reduce equipment failures by as much as 70%. This substantial impact underscores the importance of strategic maintenance in enhancing asset reliability. In industries where uptime is...
How Smart Maintenance Scheduling Can Cut Costs and Boost Uptime
Industrial manufacturers lose an estimated $50 billion annually due to unplanned downtime. These losses often stem from inefficient maintenance scheduling that fails to align with asset needs or operational priorities.What Is Maintenance Scheduling? Maintenance...
Predictive Maintenance with AI-Driven CMMS: A Game Changer
A Deloitte study found that predictive maintenance can reduce facility downtime by 5% to 15% and increase labour productivity amongst teams by 5% to 20%. This capability is driven by the integration of AI into CMMS platforms, where real-time analytics and machine...
How AI is Transforming CMMS: Key Benefits for Maintenance Teams
According to PwC, predictive maintenance enabled by AI can reduce operational costs by up to 30% and cut unplanned downtime by as much as 45%. These outcomes are not future projections. They are being realized by organizations that have embraced AI-powered...
Why Asset Hierarchy is the Foundation of Effective Industrial AI
Reports have found that data issues impact 60% of AI implementation efforts in asset-heavy industries, and this shows how data quality remains one of the biggest barriers to success. The value of industrial AI lies not just in algorithms but in the data those...
Building a Smart Asset Hierarchy: Best Practices for Industrial AI Integration
Nearly 70% of industrial companies say data quality and structure are the biggest obstacles to successful AI initiatives. In industrial operations, data drives insight. Yet, without the right structure, even vast amounts of asset data lead to inefficiency. An...
How Data Extraction Enhances Asset Verification Accuracy in Plant Walkdowns
According to Deloitte, 40% of an industrial asset’s total cost of ownership is influenced by data quality and lifecycle information. Reliable data extraction during plant walkdowns improves asset verification and helps teams maintain accurate and current asset...
The Ultimate Guide to Plant Walkdowns: Streamlining Asset Verification Through Field Inspections
According to McKinsey, up to 30% of data in industrial operations is inaccurate, incomplete, or outdated, which can cause substantial inefficiencies and safety risks in return. Plant walkdowns are critical in addressing these data gaps. These structured field...
Why APM is Critical in MAS9 and How It Transforms Asset Management
According to McKinsey, predictive maintenance powered by APM can reduce maintenance costs by 15 to 30% and unplanned downtime by up to 50%. These results demonstrate why APM (Asset Performance Management) is no longer optional in modern EAM strategies, especially...
What’s New in MAS9? Key Benefits for Asset Managers and Why Data Quality Matters More Than Ever
The global EAM market is projected to reach $13.69 billion by 2032, driven by the growing demand for cloud-based CMMS tools and digital twin capabilities. In this evolving landscape, IBM’s MAS9 positions asset managers to better control lifecycle costs, improve asset...