The NRX Blog
Implementing RCM for Asset Reliability: Decision Logic, Data, and Daily Practice
A mid-size site grew tired of blanket PMs that looked productive but did not prevent functional failures. The team chose a different path: use RCM to protect what the asset must do in its real operating context. The goal was a credible way to decide which tasks belong...
Reliability-Centered Maintenance Strategies: Protecting Function, Not Just Assets
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 to Implement Data Governance in EAM: A Practical Playbook
A mid‑size manufacturer kept “fixing the data” every quarter, yet the same arguments over KPIs returned. Planners swore schedules were realistic; supervisors insisted jobs were kitted; reliability engineers questioned the failure codes. When the plant manager finally...
Why Maintenance KPIs Fail Without Data Governance
On Monday morning, a maintenance manager opens the weekly report and sees PM compliance at 92%, yet crews are still firefighting. The numbers look fine; the plant does not. That disconnect often traces back to the same root cause: the data feeding those KPIs isn’t...
The AI Hierarchy in Action: Automating Maintenance with Intelligent CMMS
Artificial intelligence requires accurate data to succeed. Without it, even advanced CMMS systems fail to deliver consistent results. For instance, 77% of data professionals report that data quality issues hinder their company’s performance. This underscores why...
AI for CMMS Explained: Where Maintenance Tech Fits in the AI Hierarchy
According to Forbes, the average cost of downtime can reach as high as $9,000 per minute in large organizations. In industries where uptime drives profitability, maintenance is a strategic priority. CMMS has evolved beyond scheduling tools into intelligent systems. By...
Optimized Maintenance Scheduling: The Secret to Higher Productivity
Unplanned downtime is one of the most damaging challenges for asset-intensive industries. It not only drives up costs and creates inefficiencies across the supply chain. According to Forbes, unplanned downtime costs manufacturers around $50 billion per year across the...
Boosting Maintenance Productivity: Proven Strategies for an Optimized Workflow
McKinsey reports that advanced maintenance strategies, including predictive and digitally enabled preventive approaches, can reduce costs by 15% to 30%. In today’s asset-intensive industries, organizations face constant pressure to maintain high operational...
Predictive Maintenance with SAP PM: A Game Changer for Industry 4.0
According to a PwC report, predictive maintenance can reduce maintenance costs by up to 12 percent, improve equipment uptime by 9 percent, and extend asset life by 20 percent. As manufacturers transition into the era of Industry 4.0, predictive maintenance powered by...
How SAP PM Streamlines Plant Maintenance for Manufacturing Industries
Deloitte reported that predictive maintenance can result in a 5 to 15 percent reduction in facility downtime and a 5 to 20 percent increase in labour productivity. Manufacturing industries face constant pressure to maintain operational continuity while keeping costs...