Need of performing Predictive Maintenance
1.Reduce Machine Downtime
2.Reduce Maintenance Expenditure
3.Predict Machine Failure
5.Increase Operational Efficiency and Productivity
Manufacturers lose $647 billion each year to machine downtime. These failures can be mitigated by employing Predictive Maintenance.
Predictive Maintenance assists in making machines more stable by pre-identifying the problems we can make replacements before failures cause other costly problems.
Manufacturing Industries generate a massive amount of data in the form of machine logs which can be analyzed to predict machine failures & identify anomalies.
Material cost savings, Better Product Quality, Higher Yield and Productivity, Faster and Better-Informed Decision Making results in overall increased Revenue.
By using Machine Learning we can enhance efficiency and reduce costs in the manufacturing units.
Advantages of Log Data Analysis
1.Predictive Maintenance Reduces Maintenance Costs by 25%.
2.By minimizing the crucial downtime and preventing costly failures along with generating cost-effectively scheduling of maintenance cycles manufacturers can boost their productivity by 40% in the long run.
3.Log Analysis assists in Defect Elimination by processing both historical data and real-time data coming from sensors and log files belonging to a collection of machines, devices or systems.
4.In addition to this manufacturers can avoid the overwhelming cost of system failure and protect their High-Value Assets, Reduce Operational Costs and improve Quality Control.
How Canopus Can Help
Canopus performs predictive analytics to diagnose the faults in high-value engineering systems which often involve processing of real-time sensor and log data to deduct upcoming or invisible problems within the system. We follow the below approach to solve your problem:
We distinguish your one of a kind pain point and build a most customized tech arrangement.
We prioritize the scope of your solution by characterizing the extent of the solution and the means we should take for progress.
After fruitful arranging, we follow Agile strategies and methodologies to develop the solution.
With key stakeholders, we launch the prototype for initial testing.
After fruitful beginning testing, we upgrade and enhance the solution based on various stakeholders and decision makers’ feedback.