Predictive Maintenance is monitoring the performance and condition of equipment during normal operation to reduce the likelihood of failures while minimizing the cost of planned downtime. Typical factory loses between 5% to 20% of manufacturing capacity due to downtime. Beyond just predicting product failures, the data can be used in the actual repairs.
- Predictive maintenance techniques are designed to help determine the condition of in-service equipment to estimate when maintenance should be performed. This approach promises cost savings over routine or time based preventive maintenance, because tasks are performed only when warranted.
- Based on rich Industry experience and expertise of Data Science using specific algorithms and (Logistic Regression, K-Means clustering, Monte Carlo methods) BWC team can help you to adopt the solution for specific customer challenges.