In today’s fast-paced world, asset-heavy industries need to keep their equipment running at peak performance to ensure safety, cut emissions, and maximise profits. Delivering world-class reliability while keeping costs down takes a strategic approach—maintenance strategy optimisation is the key.

Hear how we built a reliability-driven maintenance optimisation tool that combines proven reliability principles with data science techniques, using Pareto analysis to pinpoint bad actors and survivability modeling to understand failure patterns, Weibull analysis to assess failure frequencies, and failure mode analysis to keep strategies sharp. This dynamic, data-driven tool continuously adapts as new data emerges, ensuring strategies stay optimised.

By focusing on these fundamentals, we delivered seven-figure savings—without the need for complex AI!

• The key business drivers behind maintenance strategy optimisation (the WHY)
• A four-step process for optimisation, grounded in reliability principles and data science techniques
• A detailed look at the custom-built digital tool that drives dynamic strategy optimisation and delivers seven-figure savings
• Practical steps to successfully implement a digital tool within a business and sustain long-term outcomes