How do you launch a reliability program when resources are scarce? Mike Begalio explains how to "draft" behind existing efforts to gain momentum. He shares how Seattle Children's Hospital used data analytics to solve three critical problems: unnecessary filter changes, sterile kit contamination, and elevator entrapments.
Unlock the secrets to successful EAM system implementation: discover the real challenges, proven strategies, and expert insights that drive lasting value in asset management.
In the world of rotating machinery, bearing life is a critical factor in ensuring equipment reliability and minimizing downtime. One of the most widely used measures for predicting bearing life is L10 life, also called the basic rating life.
Across many organizations, maintenance planning is still treated as a functional task rather than a strategic one. Too often, the planner is seen as an organizer of work orders, not as a contributor to asset reliability or long-term performance.
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Are you guilty of "Reliability Word Salad"? Jim Carrel joins us at TRC25 to explain why using buzzwords without understanding the fundamentals is hurting the industry. We discuss the real meaning of RCM, the importance of coachability, and why you should never give up on the journey to reliability excellence.
Nineteen Group, the international events and media organization, today announced the acquisition of Reliabilityweb, a highly respected global community dedicated to reliability engineering, maintenance excellence, and asset performance.
The acquisition marks a key milestone in Nineteen Group’s expansion in the United States and strengthens its growing footprint across the manufacturing sector. Reliabilityweb’s deep industry credibility, practitioner-led frameworks, and engaged global community complement Nineteen’s expertise in building and scaling high-impact events and experiences.
This year marked a deliberate shift from activity to architecture. Across conferences, training, community engagement, learning platforms, and publishing, the focus moved toward strengthening the systems that sustain reliability leadership at scale—not just events, but enduring capability.
What follows is a clear-eyed review of progress, outcomes, and direction.
A powerful talk revealing how culture—not just technology—drives true reliability. Through dramatic real-world stories, bottom‑up change, and human-centered leadership, this session uncovers what it really takes to build precision operations where nothing goes wrong.
SEATTLE – DECEMBER 16, 2025 – Seeq, the global leader in industrial analytics, AI, and enterprise monitoring for industrial companies, today announced that it has been named a Front Runner within the inaugural Industrial AI: Advanced Analytics Solution Selection Matrix (SSM) by LNS Research. Seeq was recognized as a market leader for its category-leading product innovation, human-centered approach, partner-friendly architecture, and exceptional customer focus. LNS Research, a leading research and advisory firm for the world's largest industrial companies, evaluated seven key vendors within the rapidly evolving Advanced Analytics providers category of the Industrial AI: Advanced Analytics market. This category includes software applications that offer decision intelligence capabilities, primarily through pre-built out-of-the-box applications. These vendors provide data collection, analysis, machine learning modeling, and visualization functionalities as part of their application(s), and they support several industrial use case categories.
Jeremy Frank of KCF Technologies reveals why the industrial machine health revolution is stalling—and how to fix it. Discover why AI must elevate, not replace, workers to solve the trillion-dollar problem of reactive maintenance. Learn the three keys to success: collaboration, long-term vision, and versatility, to achieve a future of zero downtime and zero injuries.
Asset-intensive industries, such as oil and gas, power generation, manufacturing, mining, transportation, and utilities, rely heavily on complex physical assets. The reliability of these assets directly affects safety, productivity, cost and competitiveness.
In process industries, such as chemicals, fertilizers and energy plants, effective maintenance management is critical for ensuring equipment reliability, operational continuity, and safety. This article proposes a data-driven framework for the scientific deployment of mechanical maintenance engineers, considering key operational variables, such as plant area, equipment type and criticality, preventive and corrective maintenance workloads, number of outsourced service interventions, purchase requisition (PR) workload, and permit management load.