How FSM Deals with Predictive Maintenance
Failures cause a number of negative effects on the functioning of organizations. These effects mainly concern higher costs or wasted time, both of which have a real impact on business.
Thanks to technology, we can gain an advantage over the competition. By using the failure prediction model, we can preventive actions, avoid failures and minimize their consequences.
Predictive maintenance involves the acquisition of data on the condition of devices and processes.
Models are created using this information, allowing us to predict potential failures and determine the condition of a given device, for example, the degree of wear. By implementing a predictive maintenance strategy, it is possible to reduce failure and service costs, improve OEE, reduce downtime, extend equipment uptime, and improve safety.
In addition, data collected in conjunction with the FSM solution facilitate more effective planning and management of field tasks.
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Business Development Manager
Marcin’s area of expertise covers field service and workforce management applications for telecoms, utilities, finance and asset management. With his experience in mobile technologies and the Internet of Things he brings value-focused, measurable innovation to service provider processes.
Head of Content
Thomas has been at Copperberg for over a decade, and currently heads the content department as well as sits on the management team. He regularly speaks at events, hosts webinars, and has contributed to many reports and white papers.
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