A PMT score, or Predictive Maintenance Technology score, is a measure of how well a predictive maintenance program is performing. It is calculated by taking the number of failures that were prevented by the program and dividing it by the total number of failures that could have occurred.
Why is a PMT Score important?
A high PMT score indicates that a predictive maintenance program is effectively preventing failures. This can lead to a number of benefits, including:
- Reduced downtime
- Increased productivity
- Extended asset life
- Reduced maintenance costs
How to Calculate a PMT Score
The following formula can be used to calculate a PMT score:
PMT Score = (Number of failures prevented by predictive maintenance program) / (Total number of failures that could have occurred)
The number of failures prevented by the predictive maintenance program can be estimated by tracking the number of failures that occur after a piece of equipment has been inspected and maintained. The total number of failures that could have occurred can be estimated by tracking the number of failures that occur on equipment that has not been inspected and maintained.
How to Check PMT Score
There are two ways to check your PMT score:
- Through the BISP website: Go to the BISP website and click on the “8171 Eligibility Check” link. Enter your CNIC number and the security code. Click on the “Submit” button. Your PMT score will be displayed on the next page.
- Through the USC website: Go to the USC website and click on the “Eligibility Status” link. This will take you to the PMT score page. Enter your CNIC number and click on the “Search” button. Your PMT score will be displayed on the next page.
How to improve a PMT Score
There are a number of things that can be done to improve a PMT score, including:
- Collecting more data: The more data that is collected about equipment, the better predictive maintenance models can be developed.
- Using better predictive maintenance models: There are a variety of different predictive maintenance models available. Using a model that is appropriate for the specific equipment and operating conditions can lead to better results.
- Improving maintenance procedures: Once predictive maintenance models have identified equipment that is at risk of failure, appropriate maintenance procedures should be implemented to prevent the failure from occurring.
Example of a PMT Score
The following example shows how to calculate a PMT score:
A company has a predictive maintenance program for its fleet of trucks. The program has been in place for one year, and during that time, the program has prevented 100 truck failures. The company’s fleet consists of 1000 trucks, and during the year, there were 200 truck failures that were not prevented by the predictive maintenance program.
To calculate the PMT score, we would use the following formula:
PMT Score = (100 failures prevented by predictive maintenance program) / (200 total number of failures that could have occurred)
The PMT score for this company is 50%. This means that the predictive maintenance program is preventing 50% of all truck failures.
A PMT score is a valuable metric for measuring the effectiveness of a predictive maintenance program. By tracking and improving a PMT score, companies can reduce downtime, increase productivity, extend asset life, and reduce maintenance costs.