Predictive Maintenance

De Challenge

Manufacturing companies face the constant threat of unplanned downtime, leading to significant production losses, delivery delays, and repair costs. Machine issues often develop gradually, going unnoticed until failure. Traditional reactive maintenance responds only after damage occurs, resulting in long recovery times and repeat risks. The costs of unplanned downtime extend beyond repairs, including lost production, wasted resources, delayed deliveries, and increased pressure on maintenance teams. Furthermore, companies aim to minimize overall maintenance costs, including reducing the need for excessive preventive maintenance and routine physical inspections.

De Solution

Sensorfact offers plug-and-play vibration sensors for real-time machine condition monitoring. These sensors detect subtle changes in vibration, temperature, and other parameters, enabling early issue detection. By continuously analyzing data, Sensorfact provides insights into machine health and predicts potential failures, allowing companies to shift from reactive to proactive predictive maintenance. Benefits include increased machine uptime, prevention of unplanned downtime and associated costs, optimized maintenance planning, and improved efficiency.

De Businesscase

Sensorfact’s affordable solution delivers a rapid return on investment, even with minimal downtime reduction. The break-even point for one measurement point is just 12.6 minutes* of prevented downtime. By preventing unplanned downtime, companies achieve significant long-term cost savings, enhancing competitiveness and supporting sustainable operations. Sensorfact also provides detailed reports and analyses, user-friendly software, and expert support.

*This is an example and can vary significantly depending on specific factors such as the type of machinery, production line, and associated costs of downtime.