Articles

A Practical Guide for Planners and Reliability Engineers

Asset-intensive organisations must align their maintenance strategies with business goals in a fast-evolving industrial environment. Central to this alignment is criticality analysis—a structured, data-driven process to rank and prioritise equipment based on its impact on operations, safety, environment, and cost. Drawing from empirical research and industry best practices, this guide presents a practical, technical approach

As the maintenance world embraces predictive analytics, Iot, and AI-driven insights, it’s not enough to do the work—you need to measure it. Maintenance KPIS (Key Performance Indicators) help teams benchmark performance, track progress, and continuously improve. But in 2025, smart maintenance means tracking the right metrics and knowing how to act on them. Here are

In today’s fast-paced, digitally driven world, maintenance planning faces unprecedented challenges. Traditional strategies are no longer sufficient as planners grapple with ageing infrastructure, unpredictable failures, and information overload. Enter the VUCA framework—Volatility, Uncertainty, Complexity, and Ambiguity—historically used to navigate these complexities. However, as systems grow more fragile, a new model, BANI—Brittle, Anxious, Non-linear, and Incomprehensible—emerges, highlighting the emotional and cognitive stressors of modern maintenance. Discover how understanding these frameworks can empower maintenance teams to remain resilient and adaptive in an ever-evolving landscape. Dive deeper into strategies that can transform your approach to maintenance planning!

“A plan is what; a schedule is when. It takes both a plan and a schedule to get things done.” Thus, according to Peter Turla, it’s inevitable that effective scheduling is crucial in maintenance planning to ensure equipment reliability, minimise downtime, and maximise operational efficiency. Still, in today’s world, there are two distinguished scheduling methodologies