An ARMA-Based Model of Predictive Maintenance for Medical Equipment Suppliers

Medical equipment is a cornerstone of modern medical system,hence the importance of the maintenance for medical equipment comes out conspicuously, which can directly affect the operation of a hospital, and even determine a patient's satisfaction to the hospital. In the modern medical system, the maintenance of medical equipment is often provided by medical equipment suppliers. The time window of critical medical equipment maintenance is often narrow, while the medical equipment suppliers begin to repair after a maintenance request from hospital users is received. Hence, it is a great challenge to the maintenance response ability for these medical equipment suppliers. In order to improve the response capability of medical equipment suppliers and change the passive equipment management strategy to the proactive predictive maintenance management strategy, a predictive maintenance model based on ARMA (Auto regressive and moving average) for a medical equipment supplier is proposed. The model is able to predict the impending failure according to the daily maintenance and help the medical equipment supplier to provide maintenance services in time.