Unplanned downtime, equipment failures, and unexpected outages can significantly disrupt manufacturing operations, leading to production backlogs, wasted resources, and delayed orders.
While reactive maintenance can address immediate issues, it often fails to prevent the cascading effects on supply chains, profit margins, and customer satisfaction.
Predictive maintenance offers a proactive solution by enabling you to anticipate and address equipment issues before they lead to costly downtime.
What is Predictive Maintenance in Manufacturing?
Predictive maintenance is a data-driven approach that uses real-time monitoring and analytics to determine equipment condition and predict potential failures. By analysing data from sensors and other sources, manufacturers can schedule maintenance activities precisely when needed rather than relying on fixed intervals or reacting to breakdowns.
This strategy not only enhances equipment reliability but also optimises maintenance resources, ensuring that interventions are timely and effective.
A report by RS Components found that in the UK and Ireland, the average time spent on unscheduled maintenance is 15 hours per week.
To avoid disruption within the production process, cloud-based technology allows the modern manufacturer to foresee maintenance issues and proactively deal with upcoming maintenance. The benefits of predictive maintenance in manufacturing unlock true end-to-end visibility, allowing optimal decisions to be made in real time by minimising data latency and maximising proactivity.
An agile, multi-application intelligence suite, such as Syscom ERP or Dynamics 365, will reduce downtime in manufacturing, use machine learning–enabled digital assistants to foresee maintenance issues and prime your operations for upcoming events with IoT-enabled solutions.
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