Resources

Optimize Workflow, Foster Collaboration, and Enhance Reliability
Image
Blog

Root Cause Analysis in Manufacturing: Boost Efficiency and Reduce Downtime with EasyRCA

Root Cause Analysis in Manufacturing is essential for companies aiming to minimize downtime, maintain quality standards, and reduce costs. Modern production environments face complex challenges—equipment malfunctions, supply chain delays, human error, and process variability—all of which can disrupt operations and profitability. That’s where Root Cause Analysis (RCA) comes in. RCA provides a structured approach to identify not just what happened,

by Sebastian Traeger

November 13, 2025

Blog

Mining Meets AI: How Razor Labs is Revolutionizing Equipment Reliability with AI Sensor Fusion

Mining meets AI in a powerful way. In mining, an hour of downtime can cost companies hundreds of thousands of dollars. But what if that failure could be detected weeks before it happens? That’s where AI sensor fusion comes into play, and Razor Labs is leading the way in applying it to the mining industry. In this article, Michael Zolotov,

by Sebastian Traeger

October 16, 2025

Blog

Types of Root Cause Analysis and How Software Streamlines Each

Types of Root Cause Analysis: A Comprehensive Overview The types of root cause analysis teams chose to apply plays a critical role in helping organizations identify underlying causes of problems and prevent them from recurring. From manufacturing downtime to healthcare errors, structured problem-solving is essential for operational efficiency, safety, and quality improvement. Root Cause Analysis Software like EasyRCA has transformed

by Sebastian Traeger

October 2, 2025

Blog

Root Cause Analysis Software vs. Templates: Which Saves You More Time?

The Challenge of Root Cause Analysis Root Cause Analysis (RCA) is essential for organizations aiming to solve problems and prevent them from recurring. Whether you’re tackling manufacturing downtime, healthcare errors, or service disruptions, RCA provides the structured methodology needed to identify the root causes of problems. Traditional methods, such as using static templates (Excel, Word, or PDF), have been the

by Sebastian Traeger

September 18, 2025

Blog

The Future of Problem-Solving: AI Root Cause Analysis with EasyRCA

What is AI-Driven Root Cause Analysis? AI root cause analysis refers to the integration of machine learning, artificial intelligence, and data analytics to automatically identify and analyze the root causes of problems. Rather than relying on human effort and interpretation alone, AI tools process and analyze data in real-time, detecting hidden patterns and anomalies that might otherwise go unnoticed. Key

by Sebastian Traeger

September 4, 2025

Blog

Building Credibility Through Reliability: Lessons from Ali Elsalaymeh at Bristol Myers Squibb

For Ali Elsalaymeh, reliability isn’t a buzzword; it’s a culture. As Associate Director of Maintenance Excellence at Bristol Myers Squibb, Ali brings a grounded, no-nonsense approach to solving real-world problems. From his early days as a design engineer to leading asset management across pharmaceutical and industrial sites, his journey is a case study in doing the fundamentals well. Ali shares

by Sebastian Traeger

August 19, 2025

Blog

What CMMSradio’s Greg Christensen Has Learned from 30 Years in the Field

When Greg Christensen started in the CMMS space back in the late ’90s, software tools were clunky, slow, and often misunderstood. Since then, he’s seen it all—from bloated rollouts that missed the mark to lean implementations that quietly transformed how teams work. In this episode of Reliability 4.0, Greg shares what he’s learned after decades in maintenance and software, including

by Sebastian Traeger

August 13, 2025

Blog

Continuous Improvement: How Justin R. Smith Keeps Reliability Moving at Americold

For any big logistics operation, reliability isn’t just about machines; it’s about people, systems, and clear communication. Justin R. Smith, Senior Manager of Regional Engineering and Maintenance at Americold Logistics, oversees maintenance for the Northeast region, plus sites in Canada and Argentina, where he’s driving continuous improvement with smarter diagnostics, better training, and clear, practical KPIs. From vibration monitoring and
Blog

AI in Reliability: How Allen Garcia is Blending Mechanical Engineering and Machine Learning at Baker Hughes

Today’s reliability work isn’t just about machines anymore; it’s about using AI to make faster, smarter calls. Recently, we sat down with Allen Garcia, a mechanical engineer at Baker Hughes and a PhD candidate at the University of Maryland focusing on AI in engineering. Allen knows both worlds: the nuts-and-bolts side of design, and now, how machine learning can shake
Image