Case Study: Role of Analytic Model for Predictive Maintenance of Medical devices
“Knowing that a machine will soon break down and preventing this at the right moment saves companies time and money. To get this knowledge, analytical evaluation of the existing data is decisive.” Case Study 1: Large medical devices such as Diagnostic Imaging, CT scanners, and magnetic resonance imaging systems are a major investment for doctors’ practices and hospitals. Unexpected breakdowns don’t just cause huge costs but also jeopardize patients’ medical care. For manufacturers, this means many spare parts must be kept in stock permanently, resulting in high capital tie-ups. If a device breaks down, the technicians have to take numerous spare parts with them to the customer on spec. And if the parts aren’t needed, they have to be thoroughly checked before they can be restocked. Goals Predict the failure probability of large medical devices Optimize stockholding for replacement parts and operations management Improve customer service and reduce downtimes Approach Read system logs and...