The cost of downtime
According to research conducted with British manufacturers, equipment breakdowns cost the UK manufacturing industry over £180 billion each year. On average, 3% of all working days are lost to faulty machinery – equivalent to 49 hours of downtime and £31,000 per company annually.
Breakdowns don’t just cause headaches—they impact productivity, increase operational costs, and reduce customer satisfaction. Any step toward reducing downtime is a step toward protecting your bottom line.
Maintenance: the cure for costly disruption
Planned preventative maintenance
This involves routinely servicing equipment to identify and resolve issues before they escalate into failures. It’s a proven strategy for minimising unexpected downtime and ensuring equipment runs smoothly for longer.
Predictive maintenance
Taking things a step further, predictive maintenance uses data analytics and live condition monitoring to forecast failures. By analysing real-time performance data, organisations can anticipate and act on emerging issues before they result in breakdowns.
This proactive approach enables:
- Better reliability
- Smarter, optimised maintenance schedules
- Significant long-term cost savings
Powered by AIM
Both maintenance strategies – preventative and predictive – are core features of Otoni Asset Intelligence. Our clients rely on AIM to help them stay one step ahead of equipment failure, keeping operations efficient and productive.
