Predictive Maintenance

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.