Mean Time Between Failures of Installed Products is an important metric, as it helps businesses to measure the performance of Installed Products. This metric calculates the average time elapsed between a failure and the next one when it occurs. Shorter Mean Time Between Failures means that the Installed Product is not performing well and it might require a better service contract agreement or upgrade. Measuring MTBF provides a reasonably good indicator of the reliability of the system. If the MTBF has increased after the scheduled maintenance or preventive maintenance process, it provides a good measure of the quality of the field service processes.

Measuring this metric requires a collection of data pertaining to the expected up time and the down time of each Installed Product over a period of time. The Mean Time Between Failure is calculated as follows:

Mean Time Between Failures of an Installed Product = (Actual Up Time � Number of Work Orders) whereas the Actual Up Time is calculated as the difference between Expected Up Time and Total Down Time.

The ability to measure the Mean Time Between Failures presents a useful view of customer experience across Installed Products. This helps customers to understand the reliability of the product and the effectiveness of the field service processes. Increased MTBF improves customers' confidence in the product, brand as well field service processes.